Literature DB >> 26245876

Gene expression patterns in CD4+ peripheral blood cells in healthy subjects and stage IV melanoma patients.

Sara J Felts1, Virginia P Van Keulen1, Adam D Scheid1, Kathleen S Allen1, Renee K Bradshaw2, Jin Jen3, Tobias Peikert1,4, Sumit Middha5,6, Yuji Zhang5,7, Matthew S Block1,2, Svetomir N Markovic1,2,8, Larry R Pease9.   

Abstract

Melanoma patients exhibit changes in immune responsiveness in the local tumor environment, draining lymph nodes, and peripheral blood. Immune-targeting therapies are revolutionizing melanoma patient care increasingly, and studies show that patients derive clinical benefit from these newer agents. Nonetheless, predicting which patients will benefit from these costly therapies remains a challenge. In an effort to capture individual differences in immune responsiveness, we are analyzing patterns of gene expression in human peripheral blood cells using RNAseq. Focusing on CD4+ peripheral blood cells, we describe multiple categories of immune regulating genes, which are expressed in highly ordered patterns shared by cohorts of healthy subjects and stage IV melanoma patients. Despite displaying conservation in overall transcriptome structure, CD4+ peripheral blood cells from melanoma patients differ quantitatively from healthy subjects in the expression of more than 2000 genes. Moreover, 1300 differentially expressed genes are found in transcript response patterns following activation of CD4+ cells ex vivo, suggesting that widespread functional discrepancies differentiate the immune systems of healthy subjects and melanoma patients. While our analysis reveals that the transcriptome architecture characteristic of healthy subjects is maintained in cancer patients, the genes expressed differentially among individuals and across cohorts provide opportunities for understanding variable immune states as well as response potentials, thus establishing a foundation for predicting individual responses to stimuli such as immunotherapeutic agents.

Entities:  

Keywords:  Gene expression; Immune response; RNAseq; Transcriptome

Mesh:

Substances:

Year:  2015        PMID: 26245876      PMCID: PMC5066565          DOI: 10.1007/s00262-015-1745-x

Source DB:  PubMed          Journal:  Cancer Immunol Immunother        ISSN: 0340-7004            Impact factor:   6.968


  37 in total

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Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

3.  IL-33 facilitates oncogene-induced cholangiocarcinoma in mice by an interleukin-6-sensitive mechanism.

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Journal:  Hepatology       Date:  2015-03-20       Impact factor: 17.425

4.  Lineage(-)Sca1+c-Kit(-)CD25+ cells are IL-33-responsive type 2 innate cells in the mouse bone marrow.

Authors:  Adipong Brickshawana; Virginia Smith Shapiro; Hirohito Kita; Larry R Pease
Journal:  J Immunol       Date:  2011-11-02       Impact factor: 5.422

5.  Global analyses of human immune variation reveal baseline predictors of postvaccination responses.

Authors:  John S Tsang; Pamela L Schwartzberg; Yuri Kotliarov; Angelique Biancotto; Zhi Xie; Ronald N Germain; Ena Wang; Matthew J Olnes; Manikandan Narayanan; Hana Golding; Susan Moir; Howard B Dickler; Shira Perl; Foo Cheung
Journal:  Cell       Date:  2014-04-10       Impact factor: 41.582

6.  A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

Authors:  Damien Chaussabel; Charles Quinn; Jing Shen; Pinakeen Patel; Casey Glaser; Nicole Baldwin; Dorothee Stichweh; Derek Blankenship; Lei Li; Indira Munagala; Lynda Bennett; Florence Allantaz; Asuncion Mejias; Monica Ardura; Ellen Kaizer; Laurence Monnet; Windy Allman; Henry Randall; Diane Johnson; Aimee Lanier; Marilynn Punaro; Knut M Wittkowski; Perrin White; Joseph Fay; Goran Klintmalm; Octavio Ramilo; A Karolina Palucka; Jacques Banchereau; Virginia Pascual
Journal:  Immunity       Date:  2008-07-18       Impact factor: 31.745

7.  Fluctuation of systemic immunity in melanoma and implications for timing of therapy.

Authors:  Alexey A Leontovich; Roxana S Dronca; Vera J Suman; Martin L Ashdown; Wendy K Nevala; Michael A Thompson; Andrew Robinson; Lisa A Kottschade; Judith S Kaur; Robert R McWilliams; Leonid V Ivanov; Gary A Croghan; Svetomir N Markovic
Journal:  Front Biosci (Elite Ed)       Date:  2012-01-01

8.  The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression.

Authors:  Thomas Derrien; Rory Johnson; Giovanni Bussotti; Andrea Tanzer; Sarah Djebali; Hagen Tilgner; Gregory Guernec; David Martin; Angelika Merkel; David G Knowles; Julien Lagarde; Lavanya Veeravalli; Xiaoan Ruan; Yijun Ruan; Timo Lassmann; Piero Carninci; James B Brown; Leonard Lipovich; Jose M Gonzalez; Mark Thomas; Carrie A Davis; Ramin Shiekhattar; Thomas R Gingeras; Tim J Hubbard; Cedric Notredame; Jennifer Harrow; Roderic Guigó
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

9.  A "crossomics" study analysing variability of different components in peripheral blood of healthy caucasoid individuals.

Authors:  Kristina Gruden; Matjaž Hren; Ana Herman; Andrej Blejec; Tanja Albrecht; Joachim Selbig; Chris Bauer; Johannes Schuchardt; Michal Or-Guil; Klemen Zupančič; Urban Svajger; Borut Stabuc; Alojz Ihan; Andreja Nataša Kopitar; Maja Ravnikar; Miomir Knežević; Primož Rožman; Matjaž Jeras
Journal:  PLoS One       Date:  2012-01-12       Impact factor: 3.240

10.  Fluorescently activated cell sorting followed by microarray profiling of helper T cell subtypes from human peripheral blood.

Authors:  Chiaki Ono; Zhiqian Yu; Yoshiyuki Kasahara; Yoshie Kikuchi; Naoto Ishii; Hiroaki Tomita
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

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  4 in total

1.  Exploring the effect of library preparation on RNA sequencing experiments.

Authors:  Lei Wang; Sara J Felts; Virginia P Van Keulen; Larry R Pease; Yuji Zhang
Journal:  Genomics       Date:  2018-12-06       Impact factor: 5.736

2.  Gene Expression Signatures Characterized by Longitudinal Stability and Interindividual Variability Delineate Baseline Phenotypic Groups with Distinct Responses to Immune Stimulation.

Authors:  Adam D Scheid; Virginia P Van Keulen; Sara J Felts; Steven C Neier; Sumit Middha; Asha A Nair; Robert W Techentin; Barry K Gilbert; Jin Jen; Claudia Neuhauser; Yuji Zhang; Larry R Pease
Journal:  J Immunol       Date:  2018-01-19       Impact factor: 5.422

3.  Integrative Genome-Wide Analysis of Long Noncoding RNAs in Diverse Immune Cell Types of Melanoma Patients.

Authors:  Lei Wang; Sara J Felts; Virginia P Van Keulen; Adam D Scheid; Matthew S Block; Svetomir N Markovic; Larry R Pease; Yuji Zhang
Journal:  Cancer Res       Date:  2018-06-12       Impact factor: 12.701

4.  Therapeutic melanoma vaccine with cancer stem cell phenotype represses exhaustion and maintains antigen-specific T cell stemness by up-regulating BCL6.

Authors:  Patrycja Czerwinska; Marcin Rucinski; Nikola Wlodarczyk; Anna Jaworska; Iga Grzadzielewska; Katarzyna Gryska; Lukasz Galus; Jacek Mackiewicz; Andrzej Mackiewicz
Journal:  Oncoimmunology       Date:  2020-01-11       Impact factor: 8.110

  4 in total

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