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Verfasst von:Lopez-Dominguez, Raul [VerfasserIn]   i
 Toro-Dominguez, Daniel [VerfasserIn]   i
 Martorell-Marugan, Jordi [VerfasserIn]   i
 Garcia-Moreno, Adrian [VerfasserIn]   i
 Holland, Christian H. [VerfasserIn]   i
 Sáez Rodríguez, Julio [VerfasserIn]   i
 Goldman, Daniel [VerfasserIn]   i
 Petri, Michelle A. [VerfasserIn]   i
 Alarcón-Riquelme, Marta E. [VerfasserIn]   i
 Carmona-Saez, Pedro [VerfasserIn]   i
Titel:Transcription factor activity inference in Systemic Lupus Erythematosus
Verf.angabe:Raul Lopez-Dominguez, Daniel Toro-Dominguez, Jordi Martorell-Marugan, Adrian Garcia-Moreno, Christian H. Holland, Julio Saez-Rodriguez, Daniel Goldman, Michelle A. Petri, Marta E. Alarcon-Riquelme and Pedro Carmona-Saez
E-Jahr:2021
Jahr:1 April 2021
Umfang:12 S.
Fussnoten:Gesehen am 14.06.2021
Titel Quelle:Enthalten in: Life
Ort Quelle:Basel : MDPI, 2011
Jahr Quelle:2021
Band/Heft Quelle:11(2021), 4, Artikel-ID 299, Seite 1-12
ISSN Quelle:2075-1729
Abstract:Background: Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease with diverse clinical manifestations. Although most of the SLE-associated loci are located in regulatory regions, there is a lack of global information about transcription factor (TFs) activities, the mode of regulation of the TFs, or the cell or sample-specific regulatory circuits. The aim of this work is to decipher TFs implicated in SLE. Methods: In order to decipher regulatory mechanisms in SLE, we have inferred TF activities from transcriptomic data for almost all human TFs, defined clusters of SLE patients based on the estimated TF activities and analyzed the differential activity patterns among SLE and healthy samples in two different cohorts. The Transcription Factor activity matrix was used to stratify SLE patients and define sets of TFs with statistically significant differential activity among the disease and control samples. Results: TF activities were able to identify two main subgroups of patients characterized by distinct neutrophil-to-lymphocyte ratio (NLR), with consistent patterns in two independent datasets—one from pediatric patients and other from adults. Furthermore, after contrasting all subgroups of patients and controls, we obtained a significant and robust list of 14 TFs implicated in the dysregulation of SLE by different mechanisms and pathways. Among them, well-known regulators of SLE, such as STAT or IRF, were found, but others suggest new pathways that might have important roles in SLE. Conclusions: These results provide a foundation to comprehend the regulatory mechanism underlying SLE and the established regulatory factors behind SLE heterogeneity that could be potential therapeutic targets.
DOI:doi:10.3390/life11040299
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.3390/life11040299
 Volltext: https://www.mdpi.com/2075-1729/11/4/299
 DOI: https://doi.org/10.3390/life11040299
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:clustering analysis
 disease classification
 systemic lupus erythematosus
 transcription factor activity inference
K10plus-PPN:1760360791
Verknüpfungen:→ Zeitschrift

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