Literature DB >> 21388884

Gene expression profiles in peripheral blood for the diagnosis of autoimmune diseases.

Bertalan Mesko1, Szilard Poliska, Laszlo Nagy.   

Abstract

Gene expression profiling in clinical genomics has yet to deliver robust and reliable approaches for developing diagnostics and contributing to personalized medicine. Owing to technological developments and the recent accumulation of expression profiles, it is a timely and relevant question whether peripheral blood gene expression profiling can be used routinely in clinical decision making. Here, we review the available gene expression profiling data of peripheral blood in autoimmune and chronic inflammatory diseases and suggest that peripheral blood mononuclear cells are suitable for descriptive and comparative gene expression analyses. A gene-disease interaction network in chronic inflammatory diseases, a general protocol for future studies and a decision tree for researchers are presented to facilitate standardization and adoption of this approach.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21388884     DOI: 10.1016/j.molmed.2010.12.004

Source DB:  PubMed          Journal:  Trends Mol Med        ISSN: 1471-4914            Impact factor:   11.951


  20 in total

1.  Pretransplant transcriptomic signature in peripheral blood predicts early acute rejection.

Authors:  Weijia Zhang; Zhengzi Yi; Chengguo Wei; Karen L Keung; Zeguo Sun; Caixia Xi; Christopher Woytovich; Samira Farouk; Lorenzo Gallon; Madhav C Menon; Ciara Magee; Nader Najafian; Milagros D Samaniego; Arjang Djamali; Stephen I Alexander; Ivy A Rosales; Rex Neal Smith; Philip J O'Connell; Robert Colvin; Paolo Cravedi; Barbara Murphy
Journal:  JCI Insight       Date:  2019-06-06

Review 2.  Pharmacogenetics and pharmacogenomics in rheumatology.

Authors:  Zoltán Szekanecz; Bertalan Meskó; Szilard Poliska; Andrea Váncsa; Szilvia Szamosi; Edit Végh; Enikö Simkovics; Judit Laki; Júlia Kurkó; Timea Besenyei; Katalin Mikecz; Tibor T Glant; László Nagy
Journal:  Immunol Res       Date:  2013-07       Impact factor: 2.829

3.  Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.

Authors:  Alexandra-Chloé Villani; Rahul Satija; Gary Reynolds; Siranush Sarkizova; Karthik Shekhar; James Fletcher; Morgane Griesbeck; Andrew Butler; Shiwei Zheng; Suzan Lazo; Laura Jardine; David Dixon; Emily Stephenson; Emil Nilsson; Ida Grundberg; David McDonald; Andrew Filby; Weibo Li; Philip L De Jager; Orit Rozenblatt-Rosen; Andrew A Lane; Muzlifah Haniffa; Aviv Regev; Nir Hacohen
Journal:  Science       Date:  2017-04-21       Impact factor: 47.728

4.  White blood cell differentials enrich whole blood expression data in the context of acute cardiac allograft rejection.

Authors:  Casey P Shannon; Zsuzsanna Hollander; Janet Wilson-McManus; Robert Balshaw; Raymond T Ng; Robert McMaster; Bruce M McManus; Paul A Keown; Scott J Tebbutt
Journal:  Bioinform Biol Insights       Date:  2012-04-10

5.  Determination of variation parameters as a crucial step in designing TMT-based clinical proteomics experiments.

Authors:  Evelyne Maes; Dirk Valkenborg; Geert Baggerman; Hanny Willems; Bart Landuyt; Liliane Schoofs; Inge Mertens
Journal:  PLoS One       Date:  2015-03-16       Impact factor: 3.240

6.  Comparative Analysis on Abnormal Methylome of Differentially Expressed Genes and Disease Pathways in the Immune Cells of RA and SLE.

Authors:  Qinghua Fang; Tingyue Li; Peiya Chen; Yuzhe Wu; Tingting Wang; Lixia Mo; Jiaxin Ou; Kutty Selva Nandakumar
Journal:  Front Immunol       Date:  2021-05-17       Impact factor: 7.561

7.  Interindividual variation in the proteome of human peripheral blood mononuclear cells.

Authors:  Evelyne Maes; Bart Landuyt; Inge Mertens; Liliane Schoofs
Journal:  PLoS One       Date:  2013-04-11       Impact factor: 3.240

8.  Human growth is associated with distinct patterns of gene expression in evolutionarily conserved networks.

Authors:  Adam Stevens; Daniel Hanson; Andrew Whatmore; Benoit Destenaves; Pierre Chatelain; Peter Clayton
Journal:  BMC Genomics       Date:  2013-08-13       Impact factor: 3.969

9.  Preliminary biomarkers for identification of human ascending thoracic aortic aneurysm.

Authors:  Kendra M Black; Akihiro Masuzawa; Robert C Hagberg; Kamal R Khabbaz; Mary E Trovato; Verna M Rettagliati; Manoj K Bhasin; Simon T Dillon; Towia A Libermann; Ioannis K Toumpoulis; Sidney Levitsky; James D McCully
Journal:  J Am Heart Assoc       Date:  2013-11-14       Impact factor: 5.501

10.  Genome-wide transcriptional analysis of T cell activation reveals differential gene expression associated with psoriasis.

Authors:  Nuria Palau; Antonio Julià; Carlos Ferrándiz; Lluís Puig; Eduardo Fonseca; Emilia Fernández; María López-Lasanta; Raül Tortosa; Sara Marsal
Journal:  BMC Genomics       Date:  2013-11-23       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.