Literature DB >> 28566371

Single-Cell RNA Sequencing Reveals Expanded Clones of Islet Antigen-Reactive CD4+ T Cells in Peripheral Blood of Subjects with Type 1 Diabetes.

Karen Cerosaletti1, Fariba Barahmand-Pour-Whitman2, Junbao Yang3, Hannah A DeBerg2, Matthew J Dufort2, Sara A Murray2, Elisabeth Israelsson2, Cate Speake4, Vivian H Gersuk2, James A Eddy2, Helena Reijonen4, Carla J Greenbaum4, William W Kwok3, Erik Wambre3, Martin Prlic5, Raphael Gottardo5, Gerald T Nepom6, Peter S Linsley7.   

Abstract

The significance of islet Ag-reactive T cells found in peripheral blood of type 1 diabetes (T1D) subjects is unclear, partly because similar cells are also found in healthy control (HC) subjects. We hypothesized that key disease-associated cells would show evidence of prior Ag exposure, inferred from expanded TCR clonotypes, and essential phenotypic properties in their transcriptomes. To test this, we developed single-cell RNA sequencing procedures for identifying TCR clonotypes and transcript phenotypes in individual T cells. We applied these procedures to analysis of islet Ag-reactive CD4+ memory T cells from the blood of T1D and HC individuals after activation with pooled immunodominant islet peptides. We found extensive TCR clonotype sharing in Ag-activated cells, especially from individual T1D subjects, consistent with in vivo T cell expansion during disease progression. The expanded clonotype from one T1D subject was detected at repeat visits spanning >15 mo, demonstrating clonotype stability. Notably, we found no clonotype sharing between subjects, indicating a predominance of "private" TCR specificities. Expanded clones from two T1D subjects recognized distinct IGRP peptides, implicating this molecule as a trigger for CD4+ T cell expansion. Although overall transcript profiles of cells from HC and T1D subjects were similar, profiles from the most expanded clones were distinctive. Our findings demonstrate that islet Ag-reactive CD4+ memory T cells with unique Ag specificities and phenotypes are expanded during disease progression and can be detected by single-cell analysis of peripheral blood.
Copyright © 2017 by The American Association of Immunologists, Inc.

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Year:  2017        PMID: 28566371      PMCID: PMC5499675          DOI: 10.4049/jimmunol.1700172

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  65 in total

1.  Linking the T cell receptor to the single cell transcriptome in antigen-specific human T cells.

Authors:  Auda A Eltahla; Simone Rizzetto; Mehdi R Pirozyan; Brigid D Betz-Stablein; Vanessa Venturi; Katherine Kedzierska; Andrew R Lloyd; Rowena A Bull; Fabio Luciani
Journal:  Immunol Cell Biol       Date:  2016-02-10       Impact factor: 5.126

2.  Measuring T cell receptor and T cell gene expression diversity in antigen-responsive human CD4+ T cells.

Authors:  Anne Eugster; Annett Lindner; Anne-Kristin Heninger; Carmen Wilhelm; Sevina Dietz; Mara Catani; Anette-G Ziegler; Ezio Bonifacio
Journal:  J Immunol Methods       Date:  2013-11-13       Impact factor: 2.303

3.  Entering the era of single-cell transcriptomics in biology and medicine.

Authors:  Rickard Sandberg
Journal:  Nat Methods       Date:  2014-01       Impact factor: 28.547

4.  Expanded T cells from pancreatic lymph nodes of type 1 diabetic subjects recognize an insulin epitope.

Authors:  Sally C Kent; Yahua Chen; Lisa Bregoli; Sue M Clemmings; Norma Sue Kenyon; Camillo Ricordi; Bernhard J Hering; David A Hafler
Journal:  Nature       Date:  2005-05-12       Impact factor: 49.962

5.  Identification and modulation of a naturally processed T cell epitope from the diabetes-associated autoantigen human glutamic acid decarboxylase 65 (hGAD65).

Authors:  G T Nepom; J D Lippolis; F M White; S Masewicz; J A Marto; A Herman; C J Luckey; B Falk; J Shabanowitz; D F Hunt; V H Engelhard; B S Nepom
Journal:  Proc Natl Acad Sci U S A       Date:  2001-02-13       Impact factor: 11.205

6.  Islet-specific glucose-6-phosphatase catalytic subunit-related protein-reactive CD4+ T cells in human subjects.

Authors:  Junbao Yang; Nancy A Danke; DeAnna Berger; Sandra Reichstetter; Helena Reijonen; Carla Greenbaum; Catherine Pihoker; Eddie A James; William W Kwok
Journal:  J Immunol       Date:  2006-03-01       Impact factor: 5.422

Review 7.  New antigenic targets in type 1 diabetes.

Authors:  Janet M Wenzlau; John C Hutton; Howard W Davidson
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2008-08       Impact factor: 3.243

8.  Landscape of tumor-infiltrating T cell repertoire of human cancers.

Authors:  Bo Li; Taiwen Li; Jean-Christophe Pignon; Binbin Wang; Jinzeng Wang; Sachet A Shukla; Ruoxu Dou; Qianming Chen; F Stephen Hodi; Toni K Choueiri; Catherine Wu; Nir Hacohen; Sabina Signoretti; Jun S Liu; X Shirley Liu
Journal:  Nat Genet       Date:  2016-05-30       Impact factor: 38.330

9.  The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.

Authors:  Damian Szklarczyk; John H Morris; Helen Cook; Michael Kuhn; Stefan Wyder; Milan Simonovic; Alberto Santos; Nadezhda T Doncheva; Alexander Roth; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2016-10-18       Impact factor: 16.971

10.  MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.

Authors:  Greg Finak; Andrew McDavid; Masanao Yajima; Jingyuan Deng; Vivian Gersuk; Alex K Shalek; Chloe K Slichter; Hannah W Miller; M Juliana McElrath; Martin Prlic; Peter S Linsley; Raphael Gottardo
Journal:  Genome Biol       Date:  2015-12-10       Impact factor: 13.583

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  23 in total

1.  Standardizing T-Cell Biomarkers in Type 1 Diabetes: Challenges and Recent Advances.

Authors:  Simi Ahmed; Karen Cerosaletti; Eddie James; S Alice Long; Stuart Mannering; Cate Speake; Maki Nakayama; Timothy Tree; Bart O Roep; Kevan C Herold; Todd M Brusko
Journal:  Diabetes       Date:  2019-07       Impact factor: 9.461

Review 2.  Immune Mechanisms and Pathways Targeted in Type 1 Diabetes.

Authors:  Laura M Jacobsen; Brittney N Newby; Daniel J Perry; Amanda L Posgai; Michael J Haller; Todd M Brusko
Journal:  Curr Diab Rep       Date:  2018-08-30       Impact factor: 4.810

Review 3.  The Application of Single-Cell RNA Sequencing in Studies of Autoimmune Diseases: a Comprehensive Review.

Authors:  Mingming Zhao; Jiao Jiang; Ming Zhao; Christopher Chang; Haijing Wu; Qianjin Lu
Journal:  Clin Rev Allergy Immunol       Date:  2020-11-25       Impact factor: 8.667

Review 4.  The Genetic Contribution to Type 1 Diabetes.

Authors:  Marina Bakay; Rahul Pandey; Struan F A Grant; Hakon Hakonarson
Journal:  Curr Diab Rep       Date:  2019-11-04       Impact factor: 4.810

5.  Cytotoxicity-Related Gene Expression and Chromatin Accessibility Define a Subset of CD4+ T Cells That Mark Progression to Type 1 Diabetes.

Authors:  Naiara G Bediaga; Alexandra L Garnham; Gaetano Naselli; Esther Bandala-Sanchez; Natalie L Stone; Joanna Cobb; Jessica E Harbison; John M Wentworth; Annette-G Ziegler; Jennifer J Couper; Gordon K Smyth; Leonard C Harrison
Journal:  Diabetes       Date:  2022-03-01       Impact factor: 9.461

Review 6.  Activation pathways that drive CD4+ T cells to break tolerance in autoimmune diseases.

Authors:  Sai Harsha Krovi; Vijay K Kuchroo
Journal:  Immunol Rev       Date:  2022-02-10       Impact factor: 10.983

7.  Unsupervised capture and profiling of rare immune cells using multi-directional magnetic ratcheting.

Authors:  Coleman Murray; Hiromi Miwa; Manjima Dhar; Da Eun Park; Edward Pao; Jessica Martinez; Sireesha Kaanumale; Evelina Loghin; John Graf; Khadir Raddassi; William W Kwok; David Hafler; Chris Puleo; Dino Di Carlo
Journal:  Lab Chip       Date:  2018-08-07       Impact factor: 6.799

8.  Single-cell RNA sequencing coupled to TCR profiling of large granular lymphocyte leukemia T cells.

Authors:  Shouguo Gao; Zhijie Wu; Bradley Arnold; Carrie Diamond; Sai Batchu; Valentina Giudice; Lemlem Alemu; Diego Quinones Raffo; Xingmin Feng; Sachiko Kajigaya; John Barrett; Sawa Ito; Neal S Young
Journal:  Nat Commun       Date:  2022-04-11       Impact factor: 14.919

Review 9.  Understanding Autoimmune Diabetes through the Prism of the Tri-Molecular Complex.

Authors:  Matthew L Bettini; Maria Bettini
Journal:  Front Endocrinol (Lausanne)       Date:  2017-12-14       Impact factor: 5.555

10.  Transcriptional networks in at-risk individuals identify signatures of type 1 diabetes progression.

Authors:  Louis-Pascal Xhonneux; Oliver Knight; Åke Lernmark; Ezio Bonifacio; William A Hagopian; Marian J Rewers; Jin-Xiong She; Jorma Toppari; Hemang Parikh; Kenneth G C Smith; Anette-G Ziegler; Beena Akolkar; Jeffrey P Krischer; Eoin F McKinney
Journal:  Sci Transl Med       Date:  2021-03-31       Impact factor: 19.319

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