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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article" xml:lang="en"><processing-meta tagset-family="jats" base-tagset="archiving" mathml-version="3.0" table-model="xhtml"><custom-meta-group><custom-meta assigning-authority="highwire" xlink:type="simple"><meta-name>recast-jats-build</meta-name><meta-value>d8e1462159</meta-value></custom-meta></custom-meta-group></processing-meta><front><journal-meta><journal-id journal-id-type="hwp">jitc</journal-id><journal-id journal-id-type="nlm-ta">J Immunother Cancer</journal-id><journal-id journal-id-type="publisher-id">40425</journal-id><journal-title-group><journal-title>Journal for ImmunoTherapy of Cancer</journal-title><abbrev-journal-title abbrev-type="publisher">J Immunother Cancer</abbrev-journal-title></journal-title-group><issn pub-type="epub">2051-1426</issn><publisher><publisher-name>BMJ Publishing Group Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">s40425-019-0670-5</article-id><article-id pub-id-type="manuscript">670</article-id><article-id pub-id-type="doi">10.1186/s40425-019-0670-5</article-id><article-id pub-id-type="pmid">31311583</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/7/1/187.atom</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="article-collection" specific-use="SubjectSection"><subject>Basic Tumor Immunology</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Basic Tumor Immunology</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>JITC</subject><subj-group><subject>Basic Tumor Immunology</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title xml:lang="en">miR-34a as hub of T cell regulation networks</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-9361-8106</contrib-id><name name-style="western"><surname>Hart</surname><given-names>Martin</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor1">a</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Walch-Rückheim</surname><given-names>Barbara</given-names></name><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="corresp" rid="cor2">b</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Krammes</surname><given-names>Lena</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor3">c</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kehl</surname><given-names>Tim</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor4">d</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rheinheimer</surname><given-names>Stefanie</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor5">e</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tänzer</surname><given-names>Tanja</given-names></name><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="corresp" rid="cor6">f</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Glombitza</surname><given-names>Birgit</given-names></name><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="corresp" rid="cor7">g</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sester</surname><given-names>Martina</given-names></name><xref ref-type="aff" rid="Aff4">4</xref><xref ref-type="corresp" rid="cor8">h</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lenhof</surname><given-names>Hans-Peter</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="corresp" rid="cor9">i</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Keller</surname><given-names>Andreas</given-names></name><xref ref-type="aff" rid="Aff5">5</xref><xref ref-type="corresp" rid="cor10">j</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Meese</surname><given-names>Eckart</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="corresp" rid="cor11">k</xref></contrib><aff id="Aff1">
<label>Aff1</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2167 7588</institution-id><institution-id institution-id-type="GRID">grid.11749.3a</institution-id><institution content-type="org-name" xlink:type="simple">Institute of Human Genetics, Saarland University</institution></institution-wrap>
<addr-line content-type="street">Building 60</addr-line>
<addr-line content-type="postcode">66421</addr-line>
<addr-line content-type="city">Homburg</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff2">
<label>Aff2</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2167 7588</institution-id><institution-id institution-id-type="GRID">grid.11749.3a</institution-id><institution content-type="org-division" xlink:type="simple">Institute of Virology and Center of Human and Molecular Biology</institution><institution content-type="org-name" xlink:type="simple">Saarland University</institution></institution-wrap>
<addr-line content-type="postcode">66421</addr-line>
<addr-line content-type="city">Homburg</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff3">
<label>Aff3</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2167 7588</institution-id><institution-id institution-id-type="GRID">grid.11749.3a</institution-id><institution content-type="org-division" xlink:type="simple">Center for Bioinformatics</institution><institution content-type="org-name" xlink:type="simple">Saarland University</institution></institution-wrap>
<addr-line content-type="postcode">66123</addr-line>
<addr-line content-type="city">Saarbrücken</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff4">
<label>Aff4</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2167 7588</institution-id><institution-id institution-id-type="GRID">grid.11749.3a</institution-id><institution content-type="org-division" xlink:type="simple">Department of Transplant and Infection Immunology</institution><institution content-type="org-name" xlink:type="simple">Saarland University</institution></institution-wrap>
<addr-line content-type="postcode">66421</addr-line>
<addr-line content-type="city">Homburg</addr-line>
<country country="DE">Germany</country>
</aff><aff id="Aff5">
<label>Aff5</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2167 7588</institution-id><institution-id institution-id-type="GRID">grid.11749.3a</institution-id><institution content-type="org-division" xlink:type="simple">Chair for Clinical Bioinformatics</institution><institution content-type="org-name" xlink:type="simple">Saarland University</institution></institution-wrap>
<addr-line content-type="postcode">66123</addr-line>
<addr-line content-type="city">Saarbrücken</addr-line>
<country country="DE">Germany</country>
</aff></contrib-group><author-notes><corresp id="cor1">
<label>a</label>
<phone>+49 (0) 6841-1626074</phone>
<email xlink:type="simple">martin.hart@uks.eu</email>
</corresp><corresp id="cor2">
<label>b</label>
<email xlink:type="simple">Barbara.Walch@uks.eu</email>
</corresp><corresp id="cor3">
<label>c</label>
<email xlink:type="simple">lena.krammes@uni-saarland.de</email>
</corresp><corresp id="cor4">
<label>d</label>
<email xlink:type="simple">tkehl@bioinf.uni-sb.de</email>
</corresp><corresp id="cor5">
<label>e</label>
<email xlink:type="simple">stefanie.rheinheimer@uks.eu</email>
</corresp><corresp id="cor6">
<label>f</label>
<email xlink:type="simple">Tanja.Taenzer@uks.eu</email>
</corresp><corresp id="cor7">
<label>g</label>
<email xlink:type="simple">Birgit.Glombitza@uks.eu</email>
</corresp><corresp id="cor8">
<label>h</label>
<email xlink:type="simple">Martina.Sester@uks.eu</email>
</corresp><corresp id="cor9">
<label>i</label>
<email xlink:type="simple">len@bioinf.uni-sb.de</email>
</corresp><corresp id="cor10">
<label>j</label>
<email xlink:type="simple">andreas.keller@ccb.uni-saarland.de</email>
</corresp><corresp id="cor11">
<label>k</label>
<email xlink:type="simple">eckart.meese@uks.eu</email>
</corresp><fn fn-type="other"><label>Publisher’s Note</label><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p></fn></author-notes><pub-date date-type="pub" iso-8601-date="2019-12" pub-type="ppub" publication-format="print"><month>12</month><year>2019</year></pub-date><pub-date date-type="pub" iso-8601-date="2019-07-16" pub-type="epub-original" publication-format="electronic"><day>16</day><month>7</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-11-18T10:22:57-08:00" pub-type="hwp-received"><day>18</day><month>11</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-11-18T10:22:57-08:00" pub-type="hwp-created"><day>18</day><month>11</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-07-16T00:00:00-07:00" pub-type="epub"><day>16</day><month>7</month><year>2019</year></pub-date><volume>7</volume><issue>1</issue><elocation-id>187</elocation-id><history><date date-type="received" iso-8601-date="2019-03-05"><day>5</day><month>3</month><year>2019</year></date><date date-type="accepted" iso-8601-date="2019-07-08"><day>8</day><month>7</month><year>2019</year></date></history><permissions><copyright-statement>© The Author(s).</copyright-statement><copyright-year>2019</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/" xlink:type="simple"><license-p>
<bold>Open Access</bold>This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">http://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/" xlink:type="simple">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="40425_2019_Article_670_nlm.pdf" xlink:type="simple"/><abstract id="Abs1" xml:lang="en"><sec id="ASec1"><title>Background</title><p id="Par1">Micro(mi)RNAs are increasingly recognized as central regulators of immune cell function. While it has been predicted that miRNAs have multiple targets, the majority of these predictions still await experimental confirmation. Here, miR-34a, a well-known tumor suppressor, is analyzed for targeting genes involved in immune system processes of leucocytes.</p></sec><sec id="ASec2"><title>Methods</title><p id="Par2">Using an <italic toggle="yes">in-silico</italic> approach, we combined miRNA target prediction with GeneTrail2, a web tool for Multi-omics enrichment analysis, to identify miR-34a target genes, which are involved in the immune system process subcategory of Gene Ontology.</p></sec><sec id="ASec3"><title>Results</title><p id="Par3">Out of the 193 predicted target genes in this subcategory we experimentally tested 22 target genes and confirmed binding of miR-34a to 14 target genes including <italic toggle="yes">VAMP2</italic>, <italic toggle="yes">IKBKE</italic>, <italic toggle="yes">MYH9</italic>, <italic toggle="yes">MARCH8</italic>, <italic toggle="yes">KLRK1</italic>, <italic toggle="yes">CD11A</italic>, <italic toggle="yes">TRAFD1</italic>, <italic toggle="yes">CCR1</italic>, <italic toggle="yes">PYDC1</italic>, <italic toggle="yes">PRF1</italic>, <italic toggle="yes">PIK3R2</italic>, <italic toggle="yes">PIK3CD</italic>, <italic toggle="yes">AP1B1</italic>, and <italic toggle="yes">ADAM10</italic> by dual luciferase assays. By transfecting Jurkat, primary CD4<sup>+</sup> and CD8<sup>+</sup> T cells with miR-34a, we demonstrated that ectopic expression of miR-34a leads to reduced levels of endogenous VAMP2 and CD11A, which are central to the analyzed subcategories. Functional downstream analysis of miR-34a over-expression in activated CD8<sup>+</sup> T cells exhibits a distinct decrease of PRF1 secretion.</p></sec><sec id="ASec4"><title>Conclusions</title><p id="Par4">By simultaneous targeting of 14 mRNAs miR-34a acts as major hub of T cell regulatory networks suggesting to utilize miR-34a as target of intervention towards a modulation of the immune responsiveness of T-cells in a broad tumor context.</p></sec></abstract><kwd-group xml:lang="en"><kwd>miR-34a</kwd><kwd>Immune system process, CD11A</kwd><kwd>VAMP2</kwd><kwd>CD4 + &amp; CD8<sup>+</sup> T cells</kwd></kwd-group><custom-meta-group><custom-meta xlink:type="simple"><meta-name>publisher-imprint-name</meta-name><meta-value>BioMed Central</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>volume-issue-count</meta-name><meta-value>1</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-article-count</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-pricelist-year</meta-name><meta-value>2019</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-copyright-holder</meta-name><meta-value>The Author(s)</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-copyright-year</meta-name><meta-value>2019</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-contains-esm</meta-name><meta-value>Yes</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-numbering-style</meta-name><meta-value>Unnumbered</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-year</meta-name><meta-value>2019</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-month</meta-name><meta-value>7</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-day</meta-name><meta-value>9</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>volume-type</meta-name><meta-value>Regular</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-product</meta-name><meta-value>ArchiveJournal</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>numbering-style</meta-name><meta-value>Unnumbered</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-grants-type</meta-name><meta-value>OpenChoice</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>metadata-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>abstract-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>bodypdf-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>bodyhtml-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>bibliography-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>esm-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>online-first</meta-name><meta-value>false</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>pdf-file-reference</meta-name><meta-value>BodyRef/PDF/40425_2019_Article_670.pdf</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>pdf-type</meta-name><meta-value>Typeset</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>target-type</meta-name><meta-value>OnlinePDF</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-type</meta-name><meta-value>Regular</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-type</meta-name><meta-value>OriginalPaper</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-primary</meta-name><meta-value>Medicine &amp; Public Health</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-secondary</meta-name><meta-value>Oncology</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-secondary</meta-name><meta-value>Immunology</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-collection</meta-name><meta-value>Medicine</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>open-access</meta-name><meta-value>true</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>special-property</meta-name><meta-value>contains-inline-supplementary-material</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p id="Par30">To profoundly decipher the molecular mechanisms of the immune response it is crucial to investigate the role of miRNAs in the regulation of T cells. Micro(mi)RNAs, which are small non coding RNAs of ~ 21–24 nucleotides in length, play a crucial role in regulating gene expression post-transcriptionally [<xref ref-type="bibr" rid="CR1">1</xref>]. Specifically, miRNAs inhibit protein biosynthesis by binding to sequences in 3′ untranslated regions (3’UTR) or in fewer instances in 5′ untranslated regions or open reading frames of their target mRNA [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR3">3</xref>]. While changes in disease related miRNA expression have extensively been studied in various cancer types [<xref ref-type="bibr" rid="CR4">4</xref>], it is likewise important to explore molecular functions of deregulated miRNAs in immune cells of tumor patients. Previously, we analyzed the miRNA expression of whole blood samples from patients with various types of cancer including prostate cancer, lung cancer, pancreatic ductal adenocarcinoma, melanoma, ovarian cancer, gastric tumors, Wilms tumor and pancreatic tumors [<xref ref-type="bibr" rid="CR5">5</xref>–<xref ref-type="bibr" rid="CR9">9</xref>]. In contrast to miRNA profiles obtained from human serum, the analysis of miRNAs in blood cells frequently allows tracing the origin of an altered miRNA back to a specific cell type. By analyzing the miRNA expression in different blood cell subtypes of healthy controls versus lung cancer patients we found a significant overexpression of the tumor suppressor miR-34a in CD3<sup>+</sup> T cells of lung cancer patients [<xref ref-type="bibr" rid="CR10">10</xref>]. Utilizing a dual luciferase approach for target identification [<xref ref-type="bibr" rid="CR11">11</xref>–<xref ref-type="bibr" rid="CR13">13</xref>], we identified five protein kinase C family members including <italic toggle="yes">PRKCA</italic>, <italic toggle="yes">PRKCB</italic>, <italic toggle="yes">PRKCE</italic>, <italic toggle="yes">PRKCH</italic> and <italic toggle="yes">PRKCQ</italic> as direct target genes of miR-34a [<xref ref-type="bibr" rid="CR14">14</xref>]. These PKC isozymes control cell signaling through the immunological synapse downstream of the T-cell receptor (TCR) and T cell migration [<xref ref-type="bibr" rid="CR15">15</xref>–<xref ref-type="bibr" rid="CR17">17</xref>] further indicating a relevance of miR-34a in T cell functions. Recently, we clarified the functional role of miR-34a in the modulation of intracellular calcium signaling and NF-κB signaling [<xref ref-type="bibr" rid="CR18">18</xref>–<xref ref-type="bibr" rid="CR20">20</xref>]. Here, we show that miR-34a simultaneously controls the translation of mRNAs that are crucial for T cell regulatory networks.</p></sec><sec id="Sec2" sec-type="methods"><title>Methods</title><sec id="Sec3"><title>Cell lines, tissue culture</title><p id="Par31">The human HEK 293 T and Jurkat cells were obtained from the German collection of microorganisms and cell cultures (DSMZ) and authenticated using STR DNA typing. HEK 293 T and Jurkat cells were cultured as described previously [<xref ref-type="bibr" rid="CR14">14</xref>]. All cell lines were cultured for less than six month after receipt.</p></sec><sec id="Sec4"><title>CD4<sup>+</sup> T cell isolation and flow cytometry</title><p id="Par32">CD4<sup>+</sup> and CD8<sup>+</sup> T cells were isolated by negative selection, purity was confirmed by flow cytometry (Additional file <xref rid="MOESM1" ref-type="supplementary-material">1</xref>: Figure S2) and cultured in RPMI 1640 medium as mentioned earlier [<xref ref-type="bibr" rid="CR20">20</xref>].</p></sec><sec id="Sec5"><title>Transfection of Jurkat, CD4<sup>+</sup> T cells and CD8<sup>+</sup> T cells</title><p id="Par33">2.5 × 10<sup>5</sup> Jurkat cells/2 ml/6well or 1 × 10<sup>6</sup> CD4<sup>+</sup> T cells/ml/12well or 1 × 10<sup>6</sup> CD8<sup>+</sup> T cells/ml/12well were transfected with 150 ng hsa-miR-34a-5p miScript miRNA mimic (MIMAT0000255: 5’UGGCAGUGUCUUAGCUGGUUGU), or the allstars negative control (ANC) using HiPerFect transfection reagent (Qiagen, Hilden, Germany). 48 h post transfection, cells were harvested and whole cell extracts were prepared as described above and the CD4<sup>+</sup> and CD8<sup>+</sup> T cells were stained with anti-CD4-FITC (RPA-T4, BD), with anti-CD8-FITC (RPA-T8, BD) and anti-CD11A-APC (HI111, BD), or respective conjugated isotype control antibodies, fixed in 1% paraformaldehyde and analyzed by flow cytometry (FACS canto II, BD biosciences)</p></sec><sec id="Sec6"><title>Dual luciferase reporter assays</title><p id="Par34">For the dual luciferase reporter assays 7 × 10<sup>4</sup> HEK 293 T cells per well of a 24-well plate were transfected with 200 ng/well reporter vector and 800 ng/well miR-34a expression plasmid using PolyFect transfection reagent (Qiagen, Hilden, Germany) corresponding to manufacturer’s protocol. Dual Luciferase assays were performed as mentioned earlier and according the manufacturer’s protocol [<xref ref-type="bibr" rid="CR14">14</xref>]. For analysis the luciferase activity of each wild type 3’UTR reporter construct cotransfected with miR-34a was normalized to the luciferase activity of the empty reporter vector cotransfected with miR-34a.</p></sec><sec id="Sec7"><title>Western blot</title><p id="Par35">For Western Blot analysis of CD11A and VAMP2 Jurkat, CD4<sup>+</sup> T cells, or CD8<sup>+</sup> T cells were transfected as described above. 48 h post transfection cells were lysed with 2x lysis buffer (130 mM Tris/HCl, 6% SDS, 10% 3-Mercapto-1,2-propandiol, 10% glycerol) and 3 times treated with ultrasound for 2 s. 15 μg of the whole protein extracts were separated by SDS gel electrophoresis in a Mini-Protean® TGX Precast Gel (Bio-Rad Laboratories Inc., Hercules, California, USA) and transferred to a nitrocellulose membrane (Whatman, GE Healthcare, Freiburg, Germany). CD11A was detected by a purified mouse anti human CD11A antibody (610826,BD, Franklin Lakes, USA), VAMP2 by a monoclonal rabbit anti human VAMP2 antibody (D601A, Cell Signaling Technology, Danvers, United States). GAPDH and β-actin were used as loading controls and detected with a monoclonal antibody against human GAPDH (14C10, Cell Signaling Technology, Danvers, United States) and an anti-β-actin monoclonal mouse antibody (AC-15, Sigma Aldrich, Munich, Germany), respectively. All secondary antibodies were obtained from Sigma Aldrich (Sigma Aldrich, Munich, Germany).</p></sec><sec id="Sec8"><title>Plasmids</title><p id="Par36">The pSG5-miR-34a expression vector was generated by Eurofins Genomics containing the nucleotides 9151617–9151816 of chromosome 1 (Eurofins Genomics, Ebersberg, Germany). The 3’UTRs of <italic toggle="yes">VAMP2</italic>, <italic toggle="yes">IKBKE</italic>, <italic toggle="yes">MYH9</italic>, <italic toggle="yes">MARCH8</italic>, <italic toggle="yes">KLRK1</italic>, <italic toggle="yes">CD11A</italic>, <italic toggle="yes">TRAFD1</italic>, <italic toggle="yes">CCR1</italic>, <italic toggle="yes">PYDC1</italic>, <italic toggle="yes">PRF1</italic>, <italic toggle="yes">PIK3R2</italic>, <italic toggle="yes">PIK3CD</italic>, <italic toggle="yes">AP1B1</italic>, <italic toggle="yes">ADAM10</italic>, <italic toggle="yes">PVR</italic>, <italic toggle="yes">AP2S1</italic>, <italic toggle="yes">BAD</italic>, <italic toggle="yes">ICOS</italic>, <italic toggle="yes">CD247</italic>, <italic toggle="yes">ZFP36</italic>, <italic toggle="yes">STX8</italic> and <italic toggle="yes">SPN</italic>, were cloned into the pMIR-RNL-TK vector, which was described in Beitzinger et al. using the SpeI, SacI or NaeI restriction sites [<xref ref-type="bibr" rid="CR21">21</xref>]. All insert were PCR amplified using specific primers and all predicted hsa-miR-34a-5p target sites of selected target genes were mutated by site-directed mutagenesis with the QuickChange II Site-Directed Mutagenesis Kit (Agilent Technologies, Santa Clara, United States) using specific primers. The identifiers of all cloned 3’UTR sequences and the sequences of specific cloning primers are shown in Additional file <xref rid="MOESM1" ref-type="fig">1</xref>: Table S1.</p></sec><sec id="Sec9"><title>RNA-isolation, quantitative real time PCR (qRT-PCR)</title><p id="Par37">The RNA isolation of ANC or miR-34a transfected CD4<sup>+</sup> T cells was carried out 48 h post transfection using the miRNeasy Mini Kit corresponding to the manufacturer’s protocol (Qiagen, Hilden, Germany). The expression of hsa-miR-34a-5p, was analyzed applying qRT-PCR with the StepOnePlus Real-Time PCR System (Applied Biosystems, Foster City, United States) and the miScript PCR System (Qiagen, Hilden, Germany) according to the manufacturer’s manual. In brief, 200 ng total RNA was reverse transcribed into cDNA using the miScript RT II Kit with the miScript HiFlex Buffer (Qiagen, Hilden, Germany). RNU48 served as endogenous control for miRNA expression. Over-expression of miR-34a in the transfected CD4<sup>+</sup> T cells is shown in Additional file <xref rid="MOESM1" ref-type="fig">1</xref>: Figure S1.</p></sec><sec id="Sec10"><title>Quantification of PRF1 production by ELISA</title><p id="Par38">1 × 10<sup>6</sup> CD8<sup>+</sup> T cells/ml/12well were transfected with 150 ng hsa-miR-34a-5p miScript miRNA Mimic (MIMAT0000255: 5’UGGCAGUGUCUUAGCUGGUUGU), or the allstars negative control (ANC) using HiPerFect transfection reagent (Qiagen, Hilden, Germany). 48 h post transfection the transfected CD8<sup>+</sup> T cells were activated by PMA/Ionomycin. 4 h after activation the supernatants were collected and PRF1 quantification was performed according to the manual of the human Perforin ELISA Kit (#PK-EL-68242, PromoCell GmbH, Heidelberg, Germany).</p></sec><sec id="Sec11"><title>Data analysis</title><p id="Par39">Statistical analysis of the luciferase assays, the Western Blots, the FACS analysis and ELISA was performed with SigmaPlot 10 (Systat, Chicago, USA) applying Student’s t-test. Quantification of the Western blots was carried out with Image Lab Software Version 5.2.1 (Bio-Rad Laboratories Inc., Hercules, California, USA).</p></sec></sec><sec id="Sec12" sec-type="results"><title>Results</title><sec id="Sec13"><title>Prediction of miR-34a target genes related to T cell function</title><p id="Par40">Previously, we identified miR-34a as modulator of intracellular calcium signaling and NF-κB signaling in CD4<sup>+</sup>/CD8<sup>+</sup> T cells [<xref ref-type="bibr" rid="CR19">19</xref>, <xref ref-type="bibr" rid="CR20">20</xref>]. To investigate the overall importance of miR-34a in T cell regulation we performed an in silico prediction of target genes of miR-34a using miRWalk 2.0 [<xref ref-type="bibr" rid="CR22">22</xref>] and identified 18828 potential target genes of miR-34a. miRWalk 2.0 combined 10 algorithms including DIANAmT, miRanda, miRDB, miRWalk, RNAhybrid, PICTAR4, PICTAR5, PITA, RNA22 and Targetscan. By including only genes that were predicted by at least 4 different target prediction algorithms, we reduced the number of target genes to 3179. To arrange the predicted target genes in pathways we used GeneTrail2 (<ext-link ext-link-type="uri" xlink:href="https://genetrail2.bioinf.uni-sb.de/" xlink:type="simple">https://genetrail2.bioinf.uni-sb.de/</ext-link>), a web service allowing the integrated analysis of transcriptomic, miRNomic, genomic and proteomic datasets [<xref ref-type="bibr" rid="CR23">23</xref>]. We identified 1227 significant subcategories (<italic toggle="yes">p</italic> value ≤0.05) in Gene Ontology. We analyzed all subcategories for immune system related pathways and found the highest number of predicted miR-34a target genes in the subcategory immune system process with 193 predicted miR-34a target genes that were significantly enriched in this pathway (p value ≤0.05) (Additional file <xref rid="MOESM1" ref-type="fig">1</xref>: Table S2). This list was refined by deleting 29 target genes, which were already validated by others using miRTarBase [<xref ref-type="bibr" rid="CR24">24</xref>] and 4 target genes, which were previously verified by us [<xref ref-type="bibr" rid="CR19">19</xref>, <xref ref-type="bibr" rid="CR20">20</xref>] (Additional file <xref rid="MOESM1" ref-type="fig">1</xref>: Table S3). Out of the remaining 160 predicted target genes we selected 22 miR-34a-target genes for experimental analysis based on their predicted biological function according to the Gene Ontology (GO) knowledgebase. Figure <xref rid="Fig1" ref-type="fig">1</xref>a depicts the detailed affiliation of the target genes in the specialized subcategories of the immune system process category as indicated in the Gene Ontology database.<fig id="Fig1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig1</object-id><label>Fig. 1</label><caption xml:lang="en"><p>Gene Ontology subcategories of the predicted miR-34a target genes. <bold>a</bold> Enrichment of predicted miR-34a target genes in specific Gene Ontology subcategories. <bold>b</bold> Dual luciferase reporter gene assay of <italic toggle="yes">VAMP2, IKBKE, MYH9, MARCH8, KLRK1, CD11A, TRAFD1, CCR1, PYDC1, PRF1, PIK3R2, PIK3CD, AP1B1, ADAM10, PVR, AP2S1, BAD, ICOS, CD247, ZFP36, STX8</italic> and <italic toggle="yes">SPN</italic>. HEK 293 T cells were co-transfected with miR-34a and reporter plasmids containing 3’UTRs of target genes as indicated. The luciferase activities were normalized with respect to the luciferase activity measured with empty reporter construct. The results represent the mean of four independent experiments carried out in duplicates. Columns colored in turquois represent a significant reduction of the luciferase activity with a <italic toggle="yes">p</italic>-value ≤0.001 (three asterisks). Columns colored in magenta represent a significant reduction of the luciferase activity with a <italic toggle="yes">p</italic>-value ≤0.01and ≥ 0.001 (two asterisks). Columns colored in violet represent a significant reduction of the luciferase activity with a <italic toggle="yes">p</italic>-value ≤0.05 and ≥ 0.01 (one asterisk). Columns colored in dark blue represent a non-significant reduction of the luciferase activity with a <italic toggle="yes">p</italic>-value ≥0.05. Data are represented as mean ± SEM</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_670_Fig1_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p></sec><sec id="Sec14"><title>Analysis of the predicted miR-34a target genes by dual luciferase assay</title><p id="Par41">By our in silico target prediction we identified miR-34a binding sites in the 3′ UTRs of <italic toggle="yes">VAMP2</italic>, <italic toggle="yes">IKBKE</italic>, <italic toggle="yes">MYH9</italic>, <italic toggle="yes">MARCH8</italic>, <italic toggle="yes">KLRK1</italic>, <italic toggle="yes">CD11A</italic>, <italic toggle="yes">TRAFD1</italic>, <italic toggle="yes">CCR1</italic>, <italic toggle="yes">PYDC1</italic>, <italic toggle="yes">PRF1</italic>, <italic toggle="yes">PIK3R2</italic>, <italic toggle="yes">PIK3CD</italic>, <italic toggle="yes">AP1B1</italic>, <italic toggle="yes">ADAM10</italic>, <italic toggle="yes">PVR</italic>, <italic toggle="yes">AP2S1</italic>, <italic toggle="yes">BAD</italic>, <italic toggle="yes">ICOS</italic>, <italic toggle="yes">CD247</italic>, <italic toggle="yes">ZFP36</italic>, <italic toggle="yes">STX8</italic> and <italic toggle="yes">SPN</italic>. The sequences, the positions within the 3’UTRs as well as the types of the miR-34a binding sites are shown in Table <xref rid="Tab1" ref-type="table">1</xref>. We amplified the nucleotides of the miR-34a binding sites by PCR and cloned this PCR product into the pMIR-RNL-TK reporter vector. The cloned reporter constructs were used in a dual luciferase reporter assays. To this end, the reporter plasmids or the empty reporter vector were co-transfected with an empty pSG5 plasmid or a miR-34a expression vector in HEK 293 T cells. The luciferase activities of the co-transfections with reporter constructs harboring the predicted 3’UTRs and miR-34a expression plasmid were normalized with regards to the luciferase activities of the co-transfections with empty reporter vector and miR-34a expression plasmid. We found the strongest reduction of the luciferase activity for the <italic toggle="yes">VAMP2</italic> reporter plasmid that showed an activity of only 49% (<italic toggle="yes">p</italic> value≤0.001) when co-transfected with miR-34a. Likewise, the luciferase activities of the reporter construct for <italic toggle="yes">IKBKE</italic>, <italic toggle="yes">MYH9</italic>, <italic toggle="yes">MARCH8</italic>, <italic toggle="yes">KLRK1</italic>, <italic toggle="yes">CD11A</italic>, <italic toggle="yes">TRAFD1</italic>, <italic toggle="yes">CCR1</italic>, <italic toggle="yes">PYDC1</italic>, <italic toggle="yes">PRF1</italic>, <italic toggle="yes">PIK3R2</italic>, <italic toggle="yes">PIK3CD</italic>, <italic toggle="yes">AP1B1</italic>, <italic toggle="yes">ADAM10</italic>, <italic toggle="yes">PVR</italic>, <italic toggle="yes">AP2S1</italic> and <italic toggle="yes">BAD</italic> were each significantly decreased (Fig. <xref rid="Fig1" ref-type="fig">1</xref>b). In detail, the luciferase activity of <italic toggle="yes">IKBKE</italic> reporter vector was decreased to 53%, of <italic toggle="yes">MYH9-</italic> to 54%, of <italic toggle="yes">MARCH8-</italic> to 62%, of <italic toggle="yes">KLRK1-</italic> to 67%, of <italic toggle="yes">CD11A-</italic> to 68%, of <italic toggle="yes">TRAFD1-</italic> to 70%, of <italic toggle="yes">CCR1-</italic> to 71%, of <italic toggle="yes">PYDC1-</italic> to 74%, of <italic toggle="yes">PRF1-</italic> to 76%, of <italic toggle="yes">PIK3R2-</italic> to 78%, of <italic toggle="yes">AP1B1-</italic> to 81%, of <italic toggle="yes">ADAM10-</italic> to 81%, of <italic toggle="yes">PVR-</italic> to 82%, of <italic toggle="yes">AP2S1-</italic> to 90%, and the activity of <italic toggle="yes">BAD-</italic>reporter vector to 91%. The reporter constructs of <italic toggle="yes">ICOS</italic>, <italic toggle="yes">CD247</italic>, <italic toggle="yes">ZFP36</italic>, <italic toggle="yes">STX8</italic> and <italic toggle="yes">SPN</italic> showed no significant reduction of the luciferase activity. To verify the binding of miR-34a to its target sites we mutated all binding sites in the 3’UTRs of <italic toggle="yes">VAMP2</italic>, <italic toggle="yes">IKBKE</italic>, <italic toggle="yes">MYH9</italic>, <italic toggle="yes">MARCH8</italic>, <italic toggle="yes">KLRK1</italic>, <italic toggle="yes">CD11A,</italic> which displayed a distinct decrease of the luciferase activity as well as all binding sites in the 3’UTRs of <italic toggle="yes">ADAM10</italic>, and <italic toggle="yes">PVR,</italic> which showed only a slight reduction. We could validate the direct binding of miR-34a to its binding sites in the 3’UTRs of <italic toggle="yes">VAMP2</italic>, <italic toggle="yes">IKBKE</italic>, <italic toggle="yes">MYH9</italic>, <italic toggle="yes">MARCH8</italic>, <italic toggle="yes">KLRK1</italic>, <italic toggle="yes">CD11A</italic> and <italic toggle="yes">ADAM10</italic> showing a significant increase of the luciferase activity of the mutated reporter constructs in comparison to their wild type 3’UTRs (Fig. <xref rid="Fig2" ref-type="fig">2</xref>). For PVR we failed to provide evidence that miR-34a directly binds to its predicted binding site. The dual luciferase assays were done in duplicates and have been repeated 4 times.<table-wrap id="Tab1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab1</object-id><caption xml:lang="en"><p>Schematic representation of the reporter gene plasmids</p></caption><graphic xlink:href="40425_2019_670_Tab1_HTML.png" position="float" orientation="portrait" xlink:type="simple"/><table-wrap-foot><p>The location of the predicted binding site of miR-34a-5p in respective 3’UTR and additionally the sequences of the binding sites of miR-34a-5p are shown</p></table-wrap-foot></table-wrap>
<fig id="Fig2" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig2</object-id><label>Fig. 2</label><caption xml:lang="en"><p>Dual luciferase reporter gene assay of the mutated 3’UTRs of <italic toggle="yes">VAMP2, IKBKE, MYH9, MARCH8, KLRK1, CD11A, ADAM10, and PVR</italic>. HEK 293 T cells were co-transfected with the miR-34a and the wild type reporter plasmids (wt) of the respective target genes or mutated reporter plasmids (mut) of the respective target genes as indicated in the diagram. The luciferase activities were normalized with respect to the luciferase activity of the co-transfection with empty reporter construct. The results represent the mean of four independent experiments carried out in duplicates. Three asterisks correspond to a <italic toggle="yes">p</italic>-value ≤0.001, two asterisks to <italic toggle="yes">p</italic>-value ≤0.01and ≥ 0.001 and one asterisk to a <italic toggle="yes">p</italic>-value ≤0.05 and ≥ 0.01. A <italic toggle="yes">p</italic>-value ≥0.05 is indicated as n.s. (non-significant). Data are represented as mean ± SEM</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_670_Fig2_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p></sec><sec id="Sec15"><title>Effect of miR-34a over-expression on endogenous protein levels of VAMP2 and CD11A in Jurkat, CD4<sup>+</sup> T cells and CD8<sup>+</sup> T cells</title><p id="Par42">We investigated the downstream effect of miR-34a binding to the 3’UTRs of VAMP2 and CD11A on their endogenous protein levels in the Jurkat cell line, in primary CD4<sup>+</sup> and CD8<sup>+</sup> T cells. VAMP2 was chosen for further analysis as most affected miR-34a target gene in the dual luciferase assay and CD11A due to its pivotal role in the anti-tumor response and T cell activation. Purity of isolated CD4<sup>+</sup> and and CD8<sup>+</sup> T cells were analyzed by flow cytometry (CD4<sup>+</sup> T cells: mean 91.1% ± 2.5% in three independent experiments, CD8<sup>+</sup> T cells: mean 91.25% ± 0.9% in three independent experiments). We transfected Jurkat, primary CD4<sup>+</sup> and CD8<sup>+</sup> T cells either with “allstars negative control” (ANC) as a non-targeting control or with miR-34a-5p mimic. The over-expression of miR-34a in the transfected CD4<sup>+</sup> T cells was confirmed by qRT-PCR as shown in Additional file <xref rid="MOESM1" ref-type="fig">1</xref>: Figure S1. Using specific antibodies against VAMP2 or CD11A we analyzed the endogenous protein levels by Western blotting and found reduced levels of both endogenous VAMP2 and CD11A in the miR-34a transfected Jurkat, CD4<sup>+</sup> T cells and CD8<sup>+</sup> T cells (Fig. <xref rid="Fig3" ref-type="fig">3</xref>a-f). Representative Western blots out of 3 independent experiments are shown in Fig. <xref rid="Fig3" ref-type="fig">3</xref>a-f. Figures <xref rid="Fig3" ref-type="fig">3</xref>g-l depict the quantifications of the endogenous VAMP2 and CD11A protein levels for all experiments in Jurkat, CD4<sup>+</sup> and CD8<sup>+</sup> T cells. The results show that the mean VAMP2 protein level levels were reduced upon transfection of miR-34a in Jurkat cells to 54% (<italic toggle="yes">p</italic> value≤0.01) (Fig. <xref rid="Fig3" ref-type="fig">3</xref>g), in CD4<sup>+</sup> T cells to 51% (<italic toggle="yes">p</italic> value≤0.05) (Fig. <xref rid="Fig3" ref-type="fig">3</xref>h) and in CD8<sup>+</sup> T cells to 56% (<italic toggle="yes">p</italic> value≤0.001) (Fig. <xref rid="Fig3" ref-type="fig">3</xref>i). Mean CD11A protein levels were reduced upon transfection of miR-34a in Jurkat cells to 78% (<italic toggle="yes">p</italic> value≤0.05) (Fig. <xref rid="Fig3" ref-type="fig">3</xref>j) and in CD4<sup>+</sup> T cells to 75% (<italic toggle="yes">p</italic> value≤0.05) (Fig. <xref rid="Fig3" ref-type="fig">3</xref> k) and in CD8<sup>+</sup> T cells to 48% (<italic toggle="yes">p</italic> value≤0.05) (Fig. <xref rid="Fig3" ref-type="fig">3</xref> l).<fig id="Fig3" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig3</object-id><label>Fig. 3</label><caption xml:lang="en"><p>Western blot analysis of VAMP2 and CD11A. <bold>a</bold>-<bold>c</bold> Western blot analysis of VAMP2 in miR-34a transfected Jurkat (<bold>a</bold>), CD4<sup>+</sup> (<bold>b</bold>) and CD8<sup>+</sup> T cells (<bold>c</bold>). The cells were transfected either with allstars negative control (ANC) or miR-34a-5p mimic. 48 h after transfection the endogenous protein level of VAMP2 was analyzed by Western blotting using specific antibodies against VAMP2. GAPDH served as loading control. <bold>d</bold>-<bold>f</bold>: Western blot analysis of CD11A in miR-34a transfected Jurkat (<bold>d</bold>), CD4<sup>+</sup> (<bold>e</bold>) and CD8<sup>+</sup> T cells (<bold>f</bold>). The cells were transfected either with allstars negative control (ANC) or miR-34a-5p mimic. 48 h after transfection the endogenous protein level of CD11A was analyzed by Western blotting using specific antibodies against CD11A. Beta actin served as loading control in Jurkat cells and CD4<sup>+</sup> T cells. GAPDH served as loading control in CD8<sup>+</sup> T cells. g-i: Quantification of endogenous VAMP2 protein levels in miR-34a transfected Jurkat (<bold>g</bold>), CD4<sup>+</sup> (<bold>h</bold>) and CD8<sup>+</sup> T cells (<bold>i</bold>). Three independent Western Blots were quantified by densitometry using Image Lab Software. The protein expression of VAMP2 was normalized with respect to the corresponding GAPDH signals of the appropriate samples. One asterisk corresponds to a <italic toggle="yes">p</italic>-value ≤0.05 and ≥ 0.01, two asterisks to <italic toggle="yes">p</italic>-value ≤0.01 and ≥ 0.001 and three asterisks to p-value ≤0.001 . <bold>j</bold>-<bold>l</bold>: Quantification of endogenous CD11A protein levels in miR-34a transfected Jurkat (<bold>j</bold>), CD4<sup>+</sup> (<bold>k</bold>) and CD8<sup>+</sup> T cells (<bold>l</bold>). Three independent Western Blots were quantified by densitometry using Image Lab Software. The protein expression of CD11A was normalized with respect to the corresponding beta actin or GAPDH signals of the appropriate samples. One asterisk corresponds to a <italic toggle="yes">p</italic>-value ≤0.05 and ≥ 0.01</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_670_Fig3_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par43">To study the impact of miR-34a overexpression on CD11A cell surface expression in primary CD4<sup>+</sup> and CD8<sup>+</sup> T cells we transfected these cells with “allstars negative control” (ANC) or with a miR-34a-5p mimic and analyzed the CD11A expression using flow cytometry (gating strategy is shown in Additional file <xref rid="MOESM1" ref-type="fig">1</xref>: Figure S2). The analysis of the mean fluorescence intensities of CD11A in CD4<sup>+</sup> and CD8<sup>+</sup> T cells showed significantly reduced cell surface levels of CD11A (blue) in comparison to ANC-transfected cells (red) (Fig. <xref rid="Fig4" ref-type="fig">4</xref>a +B). Quantification of three independent experiments revealed a decrease of CD11A cell surface expression to 78% (<italic toggle="yes">p</italic> value≤0.01) for CD4<sup>+</sup> T cells and to 81% (<italic toggle="yes">p</italic> value≤0.001) for CD8<sup>+</sup> T cells upon transfection with the miR-34a-5p mimic (Fig. <xref rid="Fig4" ref-type="fig">4</xref>c +D).<fig id="Fig4" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig4</object-id><label>Fig. 4</label><caption xml:lang="en"><p>Overexpression of miR-34a reduced cell surface expression of CD11A on primary CD4<sup>+</sup> or CD8<sup>+</sup>T cells and secretion of PRF1 from CD8<sup>+</sup> T cells. CD4<sup>+</sup> or CD8<sup>+</sup> T cells were transfected either with allstars negative control (ANC) or miR-34a-5p mimic. <bold>a</bold> Mean fluorescence intensities of CD11A expression from ANC-transfected (red) or miR-34a-5p mimic-transfected (blue) CD4<sup>+</sup> T cells or respective isotype controls (green and grey) was analyzed. <bold>b</bold> Mean fluorescence intensities of CD11A expression from ANC-transfected (red) or miR-34a-5p mimic-transfected (blue) CD8<sup>+</sup> T cells or respective isotype controls (green and grey) was analyzed. <bold>c</bold> FACS data were summarized from three independent experiments performed in duplicates. Two asterisks correspond to <italic toggle="yes">p</italic>-value ≤0.01 and ≥ 0.001. Data are represented as mean ± SEM. <bold>d</bold> FACS data were summarized from three independent experiments performed in duplicates. Three asterisks correspond to <italic toggle="yes">p</italic>-value ≤0.001. Data are represented as mean ± SEM. <bold>e</bold> ELISA data were quantified from three independent experiments from two different donors. Three asterisks correspond to <italic toggle="yes">p</italic>-value ≤0.001. Data are represented as mean ± SEM</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_670_Fig4_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p></sec><sec id="Sec16"><title>MiR-34a-5p over-expression in CD8<sup>+</sup> T cells reduces PRF1 secretion</title><p id="Par44">For functional downstream analysis of miR-34a over-expression in CD8<sup>+</sup> T cells, we analyzed the PRF1 (Perforin 1) secretion of activated CD8<sup>+</sup> T cells transfected either with “allstars negative control” (ANC) as a non-targeting control or with miR-34a-5p mimic. Four hours post activation, the secretion of PRF1 of these cells was determined by a PRF1 ELISA. Figure <xref rid="Fig4" ref-type="fig">4</xref> E depicts the quantification of PRF1 in supernatants of control or miR-34a-5p transfected CD8<sup>+</sup> T cells in three independent experiments from 2 different donors. Mean PRF1 levels decreased upon transfection of miR-34a in CD8<sup>+</sup> T cells to 49% (<italic toggle="yes">p</italic> value≤0.001) (Fig. <xref rid="Fig4" ref-type="fig">4</xref>e).</p></sec></sec><sec id="Sec17" sec-type="discussion"><title>Discussion</title><p id="Par45">Recently, we investigated the function of miR-34a in the regulation of signaling pathways in primary T cells and demonstrated the impact of miR-34a over-expression on the modulation of intracellular calcium and NF-κB signaling [<xref ref-type="bibr" rid="CR19">19</xref>, <xref ref-type="bibr" rid="CR20">20</xref>]. Here, we show that miR-34a acts as a major hub in T cell function. Our in silico target prediction combined with a downstream pathway analysis of the predicted miR-34a target genes identified 160 target genes with functions in immune system processes. We selected 22 target genes for further analysis and experimentally verified binding of miR-34a on its predicted target sides in the 3’UTRs of 14 target genes including <italic toggle="yes">VAMP2</italic>, <italic toggle="yes">IKBKE</italic>, <italic toggle="yes">MYH9</italic>, <italic toggle="yes">MARCH8</italic>, <italic toggle="yes">KLRK1</italic>, <italic toggle="yes">CD11A</italic>, <italic toggle="yes">TRAFD1</italic>, <italic toggle="yes">CCR1</italic>, <italic toggle="yes">PYDC1</italic>, <italic toggle="yes">PRF1</italic>, <italic toggle="yes">PIK3R2</italic>, <italic toggle="yes">PIK3CD</italic>, <italic toggle="yes">AP1B1</italic> and <italic toggle="yes">ADAM10</italic>.</p><p id="Par46">IKBKE (inhibitor of nuclear factor kappa B kinase subunit epsilon) represses the activation of NFAT through phosphorylation of NFATc1 during T cell activation. Loss of IKBKE elevates the antiviral and antitumor immunity in mice [<xref ref-type="bibr" rid="CR25">25</xref>]. This is in contrast to our findings showing that miR-34a over-expression leads to a repression of store-operated Ca<sup>2+</sup> signaling and impacts downstream calcineurin/NFAT signaling by targeting RCAN1, PPP3R1(Calcineurin), and NFATC4 resulting in a reduction of SOCE and IL-2 secretion [<xref ref-type="bibr" rid="CR19">19</xref>]. MYH9 (myosin heavy chain 9) is essential for proper formation of the immunological synapse and influences T cell activation [<xref ref-type="bibr" rid="CR26">26</xref>]. MYH9 is also a central link between cytoskeleton and LFA-1 during T cell migration [<xref ref-type="bibr" rid="CR27">27</xref>]. One of the main components of LFA-1 is CD11A, which we identified as direct target of miR-34a. Inhibition of these two key components of T cell migration by miR-34a over-expression, which we found in CD3<sup>+</sup> T cells of lung cancer patients [<xref ref-type="bibr" rid="CR10">10</xref>], may impact the anti-tumor response by reducing T cell motility. MARCH8 (membrane associated ring-CH-type finger 8) mediates the ubiquitination of mature MHC class II molecules in dentritic cells and B cells while limiting the amount of antigens presented at cell surface to enhance the activation of CD4<sup>+</sup> thymocytes [<xref ref-type="bibr" rid="CR28">28</xref>]. Down-regulation of MARCH8 by over-expression of miR-34a could lead to increased amounts of antigens at surface of antigen-presenting cells and attenuate the activation of naïve CD4<sup>+</sup> T cells. KLRK1 (killer cell lectin like receptor K1 also known as NKG2D) can function as co-stimulatory receptor for the T cell receptor to activate CD8<sup>+</sup> T cells [<xref ref-type="bibr" rid="CR29">29</xref>]. A blockade of KLRK1 on CD8<sup>+</sup> T cells represses the migration over ligand-expressing endothelial cells [<xref ref-type="bibr" rid="CR30">30</xref>]. Over-expression of miR-34a could impact the activation and motility of CD8<sup>+</sup> T cells via down-regulation of KLRK1. CD11A (also named ITGAL, integrin subunit alpha L) forms in combination with the common β-chain CD18 the β<sub>2</sub> integrin LFA-1 heterodimer, which is expressed exclusively on all leukocytes [<xref ref-type="bibr" rid="CR31">31</xref>]. LFA-1 plays a key role in leukocyte intercellular adhesion through interactions with ICAMs 1–3 [<xref ref-type="bibr" rid="CR32">32</xref>] and co-stimulation of T cells [<xref ref-type="bibr" rid="CR33">33</xref>]. The blockade of CD11A by the anti-CD11A antibody efalizumab induced a unique type of T-cell hypo-responsiveness. Although T cells remain fully viable, the direct activation of T cells through different activating receptors (CD2, CD3, CD3/28) is reduced [<xref ref-type="bibr" rid="CR34">34</xref>]. MiR-34a mediated down-regulation of the LFA-1 subunit CD11A in T cells possibly impacts the anti-tumor immune response in a similar way. PRF1 (perforin 1) is released from secretory granules of cytotoxic T cells in combination with various pro-apoptotic serine protease granzymes [<xref ref-type="bibr" rid="CR35">35</xref>]. Mutations in <italic toggle="yes">PRF1</italic> lead type 2 FHL (Familial hemophagocytic lymphohistiocytosis) which is a rare, rapidly fatal, autosomal recessive immune disorder characterized by uncontrolled activation of T cells and macrophages and overproduction of inflammatory cytokines [<xref ref-type="bibr" rid="CR36">36</xref>]. Bi-allelic PRF1 mutations were found in four primary lymphoma patients, who developed cancer beyond the age of 7 years [<xref ref-type="bibr" rid="CR37">37</xref>]. A down-regulation of PRF1 by miR-34a over-expression in CTLs (cytotoxic T cells) may impact the immune response against cancer cells. PIK3R2 (phosphoinositide-3-kinase regulatory subunit 2) recruits AKT1 and PDPK1 to the cellular membrane activating signaling cascades involve in cell growth, survival, proliferation, motility and morphology [<xref ref-type="bibr" rid="CR38">38</xref>]. A previous study reported that PIK3R2 limits T cell expansion in mice [<xref ref-type="bibr" rid="CR39">39</xref>]. PIK3R2 also interacts with the catalytic active PIK3CD (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit delta) [<xref ref-type="bibr" rid="CR40">40</xref>], which is implicated in the phosphoinositide 3-kinase δ syndrome (APDS) associated with senescent T cells, lymphadenopathy, and immunodeficiency [<xref ref-type="bibr" rid="CR41">41</xref>]. Knockdown of both PIK3R2 and PIK3CD by over-expression of miR-34a likely affects the anti-tumor response. ADAM10 (ADAM metallopeptidase domain 10) is a sheddase and catalyzes the secretion of growth factors or cytokines by proteolytic processing of these substrates [<xref ref-type="bibr" rid="CR42">42</xref>]. Over-expression of ADAM10 in Hodgkin lymphoma resulted in an increased release of NKG2D ligands (NKG2D-L) and reduced activation of effector T lymphocytes [<xref ref-type="bibr" rid="CR42">42</xref>]. MiR-34a over-expression in CD3+ T cells would reduce the level of ADAM10 and NKG2D ligands resulting in increased activation of effector T lymphocytes. With the receptor of NKG2D ligands KLRK1 (NKG2D) being a direct target of miR-34a, an over-expression of miR-34a may prevent an increased activation of T cells via down-regulation of KLRK1 protein levels. CCR1 (C-C motif chemokine receptor 1) is expressed in a variety of immune cell types like monocytes, CD4<sup>+</sup> T cells, CD8<sup>+</sup> T cells, basophils, B cells, eosinophils, neutrophils, natural killer cells, mast cells and dendritic cells and associated with a numerous diseases like multiple sclerosis, rheumatoid arthritis, chronic obstructive pulmonary disease, organ transplantation, Alzheimer’s disease, atherosclerosis and cancer [<xref ref-type="bibr" rid="CR43">43</xref>]. In radiofrequency ablation-treated tumors of CCR1 deficient mice the loss of CCR1 affects the accumulation of CD11C<sup>+</sup>, CD4<sup>+</sup>, and CD8<sup>+</sup> T cells in the tumor [<xref ref-type="bibr" rid="CR44">44</xref>]. VAMP2 (vesicle-associated membrane protein-2, also known as synaptobrevin2) forms together with SNAP25 (synaptosome-associated protein of 25 kD) and STX1A (syntaxin 1A) the SNARE complex between two fusing membranes mediating exocytosis [<xref ref-type="bibr" rid="CR45">45</xref>]. A study of Matti et al. showed that VAMP2 is responsible for the fusion of lytic granules in cytotoxic T cells [<xref ref-type="bibr" rid="CR46">46</xref>]. The over-expression of miR-34a in cytotoxic T cells (CTLs) may affect the fusion of lytic granules by down-regulation of VAMP2. The combination of PRF1 down-regulation and the decreased fusion of lytic granules by down-regulation of VAMP2 led to a pronounced repression of PRF1 secretion in miR-34a transfected CD8<sup>+</sup> T cells. These results support our recent finding that over-expression of miR-34a in CD8<sup>+</sup> T cells decreases the T cell killing capacity [<xref ref-type="bibr" rid="CR20">20</xref>].</p><p id="Par47">For the remaining miR-34a targets there is less information on their role in T-cell function: TRAFD1 (TRAF-type zinc finger domain containing 1) expression is inducible by interferon and suppresses Toll-like receptor 4-mediated NF-κB activation [<xref ref-type="bibr" rid="CR47">47</xref>]. PYDC1 (pyrin domain containing 1) suppresses cytokine mediated NF-κB activation and is found in complex with NCOA6 (nuclear receptor coactivator 6) predominantly in macrophages and granulocytes [<xref ref-type="bibr" rid="CR48">48</xref>].</p><p id="Par48">AP1B1 (adaptor related protein complex 1 subunit beta 1) mediated protein sorting machinery is crucial for a proper localization of a subset of cytokine receptors in polarized epithelial cells. Deficiency of AP1B1 in mice lead to epithelial immune dysfunction, such as reduced expression of antimicrobial proteins and impaired secretion of immunoglobulin A [<xref ref-type="bibr" rid="CR49">49</xref>].</p></sec><sec id="Sec18" sec-type="conclusions"><title>Conclusions</title><p id="Par49">CD8<sup>+</sup>and CD4<sup>+</sup> T cells, including regulatory T (Treg) and T helper 17 (Th17) T cell subsets, and have increasingly been recognized as key players in carcinogenesis particularly for their role in promotion and maintenance of an immunosuppressive and pro-tumor inflammation environment [<xref ref-type="bibr" rid="CR50">50</xref>]. Previously we found that miR-34a is strongly induced in the CD3<sup>+</sup> T cell subpopulation of lung cancer patients [<xref ref-type="bibr" rid="CR10">10</xref>]. Our previous data and the finding of miR-34a as major hub of translation regulation in immune system processes suggests to utilize miR-34a as target of intervention towards a modulation of the immune responsiveness of T-cells specifically in lung cancer but in also in a broader tumor context.</p></sec></body><back><sec><title>Funding</title><p>This work was supported by the European Union’s Seventh Framework Program for Research, Technological Development and Demonstration [grant number: 600841] and by the Michael J. Fox Foundation [grant number: 14446].</p></sec><ack><p>Not applicable</p></ack><fn-group><fn fn-type="other"><label>Electronic supplementary material</label><p>The online version of this article (10.1186/s40425-019-0670-5) contains supplementary material, which is available to authorized users.</p></fn></fn-group><notes notes-type="author-contribution"><title>Authors’ contributions</title><p>MH, BW, MS, AK, EM conceived and designed the experiments. MH, BW, LK, TK, SR, TT, BG performed the experiments. MH, BW, TK analyzed the data. MH, BW, MS, AK, HL, EM contributed to the writing of the manuscript. All authors read and approved the final manuscript.</p></notes><notes notes-type="data-availability"><title>Availability of data and materials</title><p>All data generated or analyzed during this study are included in this published article [and its  Additional file <xref rid="MOESM1" ref-type="fig">1</xref>].</p></notes><notes notes-type="ethics"><sec id="FPar1"><title>Ethics approval and consent to participate</title><p id="Par50">The study was carried out according to the Helsinki Declaration and was approved by the local Ethics committee (Ref.-No.213/08). All study participants gave written informed consent to participate in this study.</p></sec><sec id="FPar2"><title>Consent for publication</title><p id="Par51">Not applicable</p></sec><sec id="FPar3"><title>Competing interests</title><p id="Par52">The authors declare that they have no competing interests.</p></sec></notes><ref-list id="Bib1"><title>References</title><ref id="CR1"><label>1.</label><mixed-citation publication-type="journal" xlink:type="simple">
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</mixed-citation></ref></ref-list><app-group><app id="App1"><title>Additional file</title><p id="Par53">
<supplementary-material content-type="local-data" id="MOESM1" xlink:title="Additional file" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">MOESM1</object-id><media xlink:href="40425_2019_670_MOESM1_ESM.pdf" mimetype="application" mime-subtype="pdf" position="float" orientation="portrait" xlink:type="simple"><caption xml:lang="en"><p>Figure S1. Analysis of miR-34a-5p over-expression by qRT-PCR. <bold>Figure S2.</bold> FACS Controls. <bold>Table S1.</bold> Sequences of cloning primers.<bold>Table S2.</bold> predicted miR-34a target genes. <bold>Table S3.</bold> validated miR-34a target genes. (PDF 535 kb)</p></caption></media></supplementary-material>
</p></app></app-group><glossary><def-list><def-list><def-item><term>3’UTR</term><def><p id="Par5">3′ untranslated regions</p></def></def-item><def-item><term>ADAM10</term><def><p id="Par6">ADAM metallopeptidase domain 10</p></def></def-item><def-item><term>ANC</term><def><p id="Par7">Allstars negative control</p></def></def-item><def-item><term>AP1B1</term><def><p id="Par8">Adaptor related protein complex 1 subunit beta 1</p></def></def-item><def-item><term>APDS</term><def><p id="Par9">phosphoinositide 3-kinase δ syndrome</p></def></def-item><def-item><term>CCR1</term><def><p id="Par10">C-C motif chemokine receptor 1</p></def></def-item><def-item><term>CD11A</term><def><p id="Par11">also named ITGAL, integrin subunit alpha L, also known as NKG2D</p></def></def-item><def-item><term>CTLs</term><def><p id="Par12">Cytotoxic T cells</p></def></def-item><def-item><term>FHL</term><def><p id="Par13">Familial hemophagocytic lymphohistiocytosis</p></def></def-item><def-item><term>GO</term><def><p id="Par14">Gene Ontology</p></def></def-item><def-item><term>IKBKE</term><def><p id="Par15">Inhibitor of nuclear factor kappa B kinase subunit epsilon</p></def></def-item><def-item><term>KLRK1</term><def><p id="Par16">Killer cell lectin like receptor K1</p></def></def-item><def-item><term>MARCH8</term><def><p id="Par17">Membrane associated ring-CH-type finger 8</p></def></def-item><def-item><term>MYH9</term><def><p id="Par18">Myosin heavy chain 9</p></def></def-item><def-item><term>NCOA6</term><def><p id="Par19">Nuclear receptor coactivator 6</p></def></def-item><def-item><term>PIK3CD</term><def><p id="Par20">Phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit delta</p></def></def-item><def-item><term>PIK3R2</term><def><p id="Par21">Phosphoinositide-3-kinase regulatory subunit 2</p></def></def-item><def-item><term>PPP3R1</term><def><p id="Par22">Calcineurin</p></def></def-item><def-item><term>PRF1</term><def><p id="Par23">Perforin 1</p></def></def-item><def-item><term>PYDC1</term><def><p id="Par24">Pyrin domain containing 1</p></def></def-item><def-item><term>TCR</term><def><p id="Par25">T-cell receptor</p></def></def-item><def-item><term>Th17</term><def><p id="Par26">T helper 17 cell</p></def></def-item><def-item><term>TRAFD1</term><def><p id="Par27">TRAF-type zinc finger domain containing 1</p></def></def-item><def-item><term>Treg</term><def><p id="Par28">regulatory T cell</p></def></def-item><def-item><term>VAMP2</term><def><p id="Par29">Vesicle-associated membrane protein-2, also known as synaptobrevin2</p></def></def-item></def-list></def-list></glossary></back></article>