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Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P. -
Supplemental Figure 1. Vimentin
Double mutant specific genes Transcript gene_assignment Gene Symbol RefSeq FDR Fold- FDR Fold- FDR Fold- ID (single vs. Change (double Change (double Change wt) (single vs. wt) (double vs. single) (double vs. wt) vs. wt) vs. single) 10485013 BC085239 // 1110051M20Rik // RIKEN cDNA 1110051M20 gene // 2 E1 // 228356 /// NM 1110051M20Ri BC085239 0.164013 -1.38517 0.0345128 -2.24228 0.154535 -1.61877 k 10358717 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 /// BC 1700025G04Rik NM_197990 0.142593 -1.37878 0.0212926 -3.13385 0.093068 -2.27291 10358713 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 1700025G04Rik NM_197990 0.0655213 -1.71563 0.0222468 -2.32498 0.166843 -1.35517 10481312 NM_027283 // 1700026L06Rik // RIKEN cDNA 1700026L06 gene // 2 A3 // 69987 /// EN 1700026L06Rik NM_027283 0.0503754 -1.46385 0.0140999 -2.19537 0.0825609 -1.49972 10351465 BC150846 // 1700084C01Rik // RIKEN cDNA 1700084C01 gene // 1 H3 // 78465 /// NM_ 1700084C01Rik BC150846 0.107391 -1.5916 0.0385418 -2.05801 0.295457 -1.29305 10569654 AK007416 // 1810010D01Rik // RIKEN cDNA 1810010D01 gene // 7 F5 // 381935 /// XR 1810010D01Rik AK007416 0.145576 1.69432 0.0476957 2.51662 0.288571 1.48533 10508883 NM_001083916 // 1810019J16Rik // RIKEN cDNA 1810019J16 gene // 4 D2.3 // 69073 / 1810019J16Rik NM_001083916 0.0533206 1.57139 0.0145433 2.56417 0.0836674 1.63179 10585282 ENSMUST00000050829 // 2010007H06Rik // RIKEN cDNA 2010007H06 gene // --- // 6984 2010007H06Rik ENSMUST00000050829 0.129914 -1.71998 0.0434862 -2.51672 -
Propranolol-Mediated Attenuation of MMP-9 Excretion in Infants with Hemangiomas
Supplementary Online Content Thaivalappil S, Bauman N, Saieg A, Movius E, Brown KJ, Preciado D. Propranolol-mediated attenuation of MMP-9 excretion in infants with hemangiomas. JAMA Otolaryngol Head Neck Surg. doi:10.1001/jamaoto.2013.4773 eTable. List of All of the Proteins Identified by Proteomics This supplementary material has been provided by the authors to give readers additional information about their work. © 2013 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 10/01/2021 eTable. List of All of the Proteins Identified by Proteomics Protein Name Prop 12 mo/4 Pred 12 mo/4 Δ Prop to Pred mo mo Myeloperoxidase OS=Homo sapiens GN=MPO 26.00 143.00 ‐117.00 Lactotransferrin OS=Homo sapiens GN=LTF 114.00 205.50 ‐91.50 Matrix metalloproteinase‐9 OS=Homo sapiens GN=MMP9 5.00 36.00 ‐31.00 Neutrophil elastase OS=Homo sapiens GN=ELANE 24.00 48.00 ‐24.00 Bleomycin hydrolase OS=Homo sapiens GN=BLMH 3.00 25.00 ‐22.00 CAP7_HUMAN Azurocidin OS=Homo sapiens GN=AZU1 PE=1 SV=3 4.00 26.00 ‐22.00 S10A8_HUMAN Protein S100‐A8 OS=Homo sapiens GN=S100A8 PE=1 14.67 30.50 ‐15.83 SV=1 IL1F9_HUMAN Interleukin‐1 family member 9 OS=Homo sapiens 1.00 15.00 ‐14.00 GN=IL1F9 PE=1 SV=1 MUC5B_HUMAN Mucin‐5B OS=Homo sapiens GN=MUC5B PE=1 SV=3 2.00 14.00 ‐12.00 MUC4_HUMAN Mucin‐4 OS=Homo sapiens GN=MUC4 PE=1 SV=3 1.00 12.00 ‐11.00 HRG_HUMAN Histidine‐rich glycoprotein OS=Homo sapiens GN=HRG 1.00 12.00 ‐11.00 PE=1 SV=1 TKT_HUMAN Transketolase OS=Homo sapiens GN=TKT PE=1 SV=3 17.00 28.00 ‐11.00 CATG_HUMAN Cathepsin G OS=Homo -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Supplementary Figure S1 Functional Characterisation of Snmp:GFP
doi: 10.1038/nature06328 SUPPLEMENTARY INFORMATION SUPPLEMENTARY FIGURE LEGENDS Figure S1 | Functional characterisation of SNMP fusion proteins. Dose-response curve for cVA in Or67d neurons of wild-type (Berlin), SNMP mutant (Or67d- GAL4/+;SNMP1/SNMP2), SNMP:GFP rescue (Or67d-GAL4/UAS- SNMP:GFP;SNMP1/SNMP2) and YFP(1):Or83b/SNMP:YFP(2) rescue (Or67d:GAL4,UAS-YFP(1):Or83b/UAS-SNMP:YFP(2);SNMP1,Or83b2/SNMP2,Or83b1 ) animals. Mean responses are plotted (± s.e.m; wild-type n=47, SNMP mutant n=46, SNMP:GFP rescue n=20; YFP(1):Or83b/SNMP:YFP(2) rescue n=22; ≤4 sensilla/animal, mixed genders). Wild-type and SNMP:GFP rescue responses to cVA are not significantly different (ANOVA; p>0.1175). YFP(1):Or83b/SNMP:YFP(2) rescue responses to cVA are highly significantly different from SNMP mutants and from wild- type (ANOVA; p<0.0001), indicating partial rescue. Figure S2 | Cell type-specific rescue of SNMP expression. a, Immunostaining for mCD8:GFP (anti-GFP, green) and LUSH (magenta) in LUSH-GAL4/UAS-mCD8:GFP animals reveals faithful recapitulation of endogenous expression by the LUSH-GAL4 driver. b, Two-colour RNA in situ hybridisation for SNMP (green) and Or67d (magenta) in antennal sections of wild-type, Or67d neuron SNMP rescue (Or67d-GAL4/UAS- SNMP;SNMP1/SNMP2) and support cell SNMP rescue (LUSH-GAL4/UAS- SNMP;SNMP1/SNMP2) animals. www.nature.com/nature 1 Benton et al., Figure S1 ) -1 wild-type 120 SNMP:GFP rescue 80 YFP(1):Or83b/SNMP:YFP(2) rescue 40 Corrected response (spikes s 0 SNMP-/- 0 0.1 1 10 100 cVA (%) www.nature.com/nature 2 Benton -
Aberrant Expression of Tetraspanin Molecules in B-Cell Chronic Lymphoproliferative Disorders and Its Correlation with Normal B-Cell Maturation
Leukemia (2005) 19, 1376–1383 & 2005 Nature Publishing Group All rights reserved 0887-6924/05 $30.00 www.nature.com/leu Aberrant expression of tetraspanin molecules in B-cell chronic lymphoproliferative disorders and its correlation with normal B-cell maturation S Barrena1,2, J Almeida1,2, M Yunta1,ALo´pez1,2, N Ferna´ndez-Mosteirı´n3, M Giralt3, M Romero4, L Perdiguer5, M Delgado1, A Orfao1,2 and PA Lazo1 1Instituto de Biologı´a Molecular y Celular del Ca´ncer, Centro de Investigacio´n del Ca´ncer, Consejo Superior de Investigaciones Cientı´ficas-Universidad de Salamanca, Salamanca, Spain; 2Servicio de Citometrı´a, Universidad de Salamanca and Hospital Universitario de Salamanca, Salamanca, Spain; 3Servicio de Hematologı´a, Hospital Universitario Miguel Servet, Zaragoza, Spain; 4Hematologı´a-hemoterapia, Hospital Universitario Rı´o Hortega, Valladolid, Spain; and 5Servicio de Hematologı´a, Hospital de Alcan˜iz, Teruel, Spain Tetraspanin proteins form signaling complexes between them On the cell surface, tetraspanin antigens are present either as and with other membrane proteins and modulate cell adhesion free molecules or through interaction with other proteins.25,26 and migration properties. The surface expression of several tetraspanin antigens (CD9, CD37, CD53, CD63, and CD81), and These interacting proteins include other tetraspanins, integri- F 22,27–30F their interacting proteins (CD19, CD21, and HLA-DR) were ns particularly those with the b1 subunit HLA class II 31–33 34,35 analyzed during normal B-cell maturation and compared to a moleculesFeg HLA DR -, CD19, the T-cell recep- group of 67 B-cell neoplasias. Three patterns of tetraspanin tor36,37 and several other members of the immunoglobulin expression were identified in normal B cells. -
The Tetraspanin TSPAN33 Controls TLR-Triggered Macrophage Activation Through Modulation of NOTCH Signaling
The Tetraspanin TSPAN33 Controls TLR-Triggered Macrophage Activation through Modulation of NOTCH Signaling This information is current as Almudena Ruiz-García, Susana López-López, José Javier of September 25, 2021. García-Ramírez, Victoriano Baladrón, María José Ruiz-Hidalgo, Laura López-Sanz, Ángela Ballesteros, Jorge Laborda, Eva María Monsalve and María José M. Díaz-Guerra J Immunol published online 29 August 2016 Downloaded from http://www.jimmunol.org/content/early/2016/08/27/jimmun ol.1600421 Supplementary http://www.jimmunol.org/content/suppl/2016/08/27/jimmunol.160042 http://www.jimmunol.org/ Material 1.DCSupplemental Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 25, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published August 29, 2016, doi:10.4049/jimmunol.1600421 The Journal of Immunology The Tetraspanin TSPAN33 Controls TLR-Triggered Macrophage Activation through Modulation of NOTCH Signaling Almudena Ruiz-Garcı´a,1 Susana Lo´pez-Lo´pez,1 Jose´ Javier Garcı´a-Ramı´rez, Victoriano Baladro´n, Marı´a Jose´ Ruiz-Hidalgo, Laura Lo´pez-Sanz, A´ ngela Ballesteros, Jorge Laborda, Eva Marı´a Monsalve, and Marı´a Jose´ M. -
The Role of Proteoglycans in the Initiation of Neural Tube Closure
The role of proteoglycans in the initiation of neural tube closure Oleksandr Nychyk Thesis submitted to UCL for the degree of Doctor of Philosophy 2017 Developmental Biology of Birth Defects Developmental Biology & Cancer Programme UCL Great Ormond Street Institute of Child Health Declaration of contribution I, Oleksandr Nychyk confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in my thesis. ___________________________________________ Oleksandr Nychyk 2 Abstract Neurulation is the embryonic process that gives rise to the neural tube (NT), the precursor of the brain and spinal cord. Recent work has emphasised the importance of proteoglycans in convergent extension movements and NT closure in lower vertebrates. The current study is focused on the role of proteoglycans in the initiation of NT closure in mammals, termed closure 1. In this project, the initial aim was to characterise the ‘matrisome’, or in vivo extracellular matrix (ECM) composition, during mammalian neurulation. Tissue site of mRNA expression and protein localisation of ECM components, including proteoglycans, were then investigated showing their distinct expression patterns prior to and after the onset of neural tube closure. The expression analysis raised various hypothesis that were subsequently tested, demonstrating that impaired sulfation of ECM proteoglycan chains worsens the phenotype of planar cell polarity (PCP) mutant loop tail (Vangl2Lp) predisposed to neural tube defects. Exposure of Vangl2Lp/+ embryos to chlorate, an inhibitor of glycosaminoglycan sulfation, during ex vivo whole embryo culture prevented NT closure, converting Vangl2Lp/+ to the mutant Vangl2Lp/Lp pathophenotype. The same result was obtained by exposure of Vangl2Lp/+ + embryos to chondroitinase or heparitinase. -
Biogenesis of Extracellular Vesicles (EV): Exosomes, Microvesicles, Retrovirus-Like Vesicles, and Apoptotic Bodies
J Neurooncol (2013) 113:1–11 DOI 10.1007/s11060-013-1084-8 TOPIC REVIEW Biogenesis of extracellular vesicles (EV): exosomes, microvesicles, retrovirus-like vesicles, and apoptotic bodies Johnny C. Akers • David Gonda • Ryan Kim • Bob S. Carter • Clark C. Chen Received: 27 July 2012 / Accepted: 13 February 2013 / Published online: 2 March 2013 Ó Springer Science+Business Media New York 2013 Abstract Recent studies suggest both normal and can- Abbreviations cerous cells secrete vesicles into the extracellular space. Exosomes 30–100 nm secreted vesicles that These extracellular vesicles (EVs) contain materials that originate from the endosomal mirror the genetic and proteomic content of the secreting network cell. The identification of cancer-specific material in EVs Microvesicles 50–2,000 nm vesicles that arise isolated from the biofluids (e.g., serum, cerebrospinal fluid, through direct outward budding urine) of cancer patients suggests EVs as an attractive and fission of the plasma mem- platform for biomarker development. It is important to brane recognize that the EVs derived from clinical samples are Retrovirus-like particles 90–100 nm non-infectious vesicles likely highly heterogeneous in make-up and arose from that resemble retroviral vesicles diverse sets of biologic processes. This article aims to and contain a subset of retroviral review the biologic processes that give rise to various types proteins of EVs, including exosomes, microvesicles, retrovirus like Apoptotic bodies 50–5,000 nm vesicles produced particles, and apoptotic bodies. Clinical pertinence of these from cell undergoing cell death EVs to neuro-oncology will also be discussed. by apoptosis EV Extracellular vesicle Keywords Biomarkers Á Intracellular trafficking Á RLP Retrovirus like particle Membrane budding Á Tetraspanin Á Multi-vesicular bodies ILV Intraluminal vesicle (MVB) Á Tumor microenvironment Á Cancer MVB Multivesicular body TEM Tetraspanin enriched microdo- main ESCRT Endosomal sorting complex required for transport Bob S. -
Table SII. Significantly Differentially Expressed Mrnas of GSE23558 Data Series with the Criteria of Adjusted P<0.05 And
Table SII. Significantly differentially expressed mRNAs of GSE23558 data series with the criteria of adjusted P<0.05 and logFC>1.5. Probe ID Adjusted P-value logFC Gene symbol Gene title A_23_P157793 1.52x10-5 6.91 CA9 carbonic anhydrase 9 A_23_P161698 1.14x10-4 5.86 MMP3 matrix metallopeptidase 3 A_23_P25150 1.49x10-9 5.67 HOXC9 homeobox C9 A_23_P13094 3.26x10-4 5.56 MMP10 matrix metallopeptidase 10 A_23_P48570 2.36x10-5 5.48 DHRS2 dehydrogenase A_23_P125278 3.03x10-3 5.40 CXCL11 C-X-C motif chemokine ligand 11 A_23_P321501 1.63x10-5 5.38 DHRS2 dehydrogenase A_23_P431388 2.27x10-6 5.33 SPOCD1 SPOC domain containing 1 A_24_P20607 5.13x10-4 5.32 CXCL11 C-X-C motif chemokine ligand 11 A_24_P11061 3.70x10-3 5.30 CSAG1 chondrosarcoma associated gene 1 A_23_P87700 1.03x10-4 5.25 MFAP5 microfibrillar associated protein 5 A_23_P150979 1.81x10-2 5.25 MUCL1 mucin like 1 A_23_P1691 2.71x10-8 5.12 MMP1 matrix metallopeptidase 1 A_23_P350005 2.53x10-4 5.12 TRIML2 tripartite motif family like 2 A_24_P303091 1.23x10-3 4.99 CXCL10 C-X-C motif chemokine ligand 10 A_24_P923612 1.60x10-5 4.95 PTHLH parathyroid hormone like hormone A_23_P7313 6.03x10-5 4.94 SPP1 secreted phosphoprotein 1 A_23_P122924 2.45x10-8 4.93 INHBA inhibin A subunit A_32_P155460 6.56x10-3 4.91 PICSAR P38 inhibited cutaneous squamous cell carcinoma associated lincRNA A_24_P686965 8.75x10-7 4.82 SH2D5 SH2 domain containing 5 A_23_P105475 7.74x10-3 4.70 SLCO1B3 solute carrier organic anion transporter family member 1B3 A_24_P85099 4.82x10-5 4.67 HMGA2 high mobility group AT-hook 2 A_24_P101651 -
Influences of Gravitational Intensity on the Transcriptional Landscape of Arabidopsis
Influences of Gravitational Intensity on the Transcriptional Landscape of Arabidopsis thaliana A dissertation presented to the faculty of the College of Arts and Sciences of Ohio University In partial fulfillment of the requirements for the degree Doctor of Philosophy Alexander D. Meyers May 2020 © 2020 Alexander D. Meyers. All Rights Reserved. 2 This dissertation titled Influences of Gravitational Intensity on the Transcriptional Landscape of Arabidopsis thaliana by ALEXANDER D. MEYERS has been approved for the Department of Molecular and Cellular Biology and the College of Arts and Sciences by Sarah E. Wyatt Professor of Environmental and Plant Biology Florenz Plassmann Dean, College of Arts and Sciences 3 Abstract MEYERS, ALEXANDER D, Ph.D., May 2020, Molecular and Cellular Biology Influences of Gravitational Intensity on the Transcriptional Landscape of Arabidopsis thaliana Director of Dissertation: Sarah E. Wyatt Plants use a myriad of environmental cues to inform their growth and development. The force of gravity has been a consistent abiotic input throughout plant evolution, and plants utilize gravity sensing mechanisms to maintain proper orientation and architecture. Despite thorough study, the specific mechanics behind plant gravity perception remain largely undefined or unproven. At the center of plant gravitropism are dense, specialized organelles called starch statoliths that sediment in the direction of gravity. Herein I describe a series of experiments in Arabidopsis that leveraged RNA sequencing to probe gravity response mechanisms in plants, utilizing reorientation in Earth’s 1g, fractional gravity environments aboard the International Space Station, and simulated fractional and hyper gravity environments within various specialized hardware. Seedlings were examined at organ-level resolution, and the statolith-deficient pgm-1 mutant was subjected to all treatments alongside wildtype seedlings in an effort to resolve the impact of starch statoliths on gravity response. -
Impaired Expression of Tetraspanin 32 (TSPAN32) in Memory T Cells of Patients with Multiple Sclerosis
brain sciences Article Impaired Expression of Tetraspanin 32 (TSPAN32) in Memory T Cells of Patients with Multiple Sclerosis Maria Sofia Basile 1, Emanuela Mazzon 2 , Katia Mangano 1 , Manuela Pennisi 1, Maria Cristina Petralia 2, Salvo Danilo Lombardo 1 , Ferdinando Nicoletti 1 , Paolo Fagone 1,* and Eugenio Cavalli 2 1 Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia 89, 95123 Catania, Italy; sofi[email protected] (M.S.B.); [email protected] (K.M.); [email protected] (M.P.); [email protected] (S.D.L.); [email protected] (F.N.) 2 IRCCS Centro Neurolesi “Bonino-Pulejo”, Via Provinciale Palermo, Contrada Casazza, 98124 Messina, Italy; [email protected] (E.M.); [email protected] (M.C.P.); [email protected] (E.C.) * Correspondence: [email protected] Received: 29 November 2019; Accepted: 14 January 2020; Published: 17 January 2020 Abstract: Tetraspanins are a conserved family of proteins involved in a number of biological processes. We have previously shown that Tetraspanin-32 (TSPAN32) is significantly downregulated upon activation of T helper cells via anti-CD3/CD28 stimulation. On the other hand, TSPAN32 is marginally modulated in activated Treg cells. A role for TSPAN32 in controlling the development of autoimmune responses is consistent with our observation that encephalitogenic T cells from myelin oligodendrocyte glycoprotein (MOG)-induced experimental autoimmune encephalomyelitis (EAE) mice exhibit significantly lower levels of TSPAN32 as compared to naïve T cells. In the present study, by making use of ex vivo and in silico analysis, we aimed to better characterize the pathophysiological and diagnostic/prognostic role of TSPAN32 in T cell immunity and in multiple sclerosis (MS).