Literature DB >> 35469108

Transcriptome Studies in Lupus Nephritis.

Marta E Alarcón-Riquelme1,2.   

Abstract

The present review is aimed at describing the main works that have used gene expression to analyze tissue kidney samples of lupus nephritis patients. Most studies used the gene expression arrays, which enormously advanced our knowledge on the possible mechanisms behind lupus nephritis. However, using bulk gene expression platforms, either as arrays, or as sequencing of RNA is not enough to go into detail of the cells and their molecular patterns and single cell mechanisms of disease. More recently, the first single cell RNA Sequencing study was published and this will also be discussed in the context of lupus nephritis. Single cell RNA sequencing allows to retrieve the genes expressed in each cell in the tissue of interest or in blood. In this context, the results of such studies give us a first glimpse of how a lupus nephritis kidney looks like, but much is still to be done to understand the changes that occur with treatment or with the different pathological subtypes of lupus nephritis and their cellular content.
© 2022. L. Hirszfeld Institute of Immunology and Experimental Therapy, Wroclaw, Poland.

Entities:  

Keywords:  Gene expression; Genetics; Lupus nephritis; Systemic lupus erythematosus; Transcriptome

Mesh:

Substances:

Year:  2022        PMID: 35469108     DOI: 10.1007/s00005-022-00651-y

Source DB:  PubMed          Journal:  Arch Immunol Ther Exp (Warsz)        ISSN: 0004-069X            Impact factor:   4.291


  2 in total

1.  Modular transcriptional repertoire analyses identify a blood neutrophil signature as a candidate biomarker for lupus nephritis.

Authors:  Noémie Jourde-Chiche; Elizabeth Whalen; Bertrand Gondouin; Cate Speake; Vivian Gersuk; Bertrand Dussol; Stephane Burtey; Virginia Pascual; Damien Chaussabel; Laurent Chiche
Journal:  Rheumatology (Oxford)       Date:  2017-03-01       Impact factor: 7.580

2.  Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker.

Authors:  Wenjun Ju; Viji Nair; Shahaan Smith; Li Zhu; Kerby Shedden; Peter X K Song; Laura H Mariani; Felix H Eichinger; Celine C Berthier; Ann Randolph; Jennifer Yi-Chun Lai; Yan Zhou; Jennifer J Hawkins; Markus Bitzer; Matthew G Sampson; Martina Thier; Corinne Solier; Gonzalo C Duran-Pacheco; Guillemette Duchateau-Nguyen; Laurent Essioux; Brigitte Schott; Ivan Formentini; Maria C Magnone; Maria Bobadilla; Clemens D Cohen; Serena M Bagnasco; Laura Barisoni; Jicheng Lv; Hong Zhang; Hai-Yan Wang; Frank C Brosius; Crystal A Gadegbeku; Matthias Kretzler
Journal:  Sci Transl Med       Date:  2015-12-02       Impact factor: 17.956

  2 in total

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