Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ HAL-Insermarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
HAL-Inserm
Article . 2012
Data sources: HAL-Inserm
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Clinica Chimica Acta
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 3 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Gene expression signature in transplantation tolerance

Authors: Sophie Brouard; Jean-Paul Soulillou; Faouzi Braza; Faouzi Braza;

Gene expression signature in transplantation tolerance

Abstract

Human kidney transplantation tolerance exists, but the definition of true tolerance as defined by Billingham and colleagues suffers several key elements that cannot be demonstrated in humans. Indeed, human tolerance in transplantation is defined by different functional and clinical parameters, this is why in clinical transplantation we preferentially talk about operational tolerance. These patients are very rare and defined in the literature as immunocompetent patients with stable graft function without any immunosuppressive treatments. These patients are characterized by a stable graft function in the absence of histologic information since the biopsy is often lacking. In kidney transplantation, this state of operational tolerance is observed in two situations. It is sometimes detected by chance in patients who stop their immunosuppressive treatments due to incompliance or because of secondary effects (cancer, opportunistic infections). The principal goal in kidney transplantation and one of the reasons why so many people are interested in cases of operational tolerance in humans, is to be able to identify patients who are developing spontaneous tolerance to their transplants while under classical immunosuppression. Consequently, there is an increasing need to develop an assay to identify and differentiate such patients with specific and noninvasive methods. In this review we will discuss the various studies that attempt to identify these new biomarkers of tolerance thanks to gene expression profiling using microarrays or quantitative PCR that have become a benchmark for research in novel and informative transplant monitoring assays.

Keywords

Transplantation, B cells, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Gene Expression Profiling, Microarray, Signature, Kidney Transplantation, Liver Transplantation, 616, 617, Humans, Transplantation Tolerance, Gene expression, Tolerance, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Biomarkers, Oligonucleotide Array Sequence Analysis

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Average
Top 10%
Green
Related to Research communities
Cancer Research