Differential correlation network analysis of rectal transcriptomes reveals cystic fibrosis-related disturbance.
Pharmacogenomics
; 23(6): 339-344, 2022 04.
Article
en En
| MEDLINE
| ID: mdl-35189732
ABSTRACT
Background:
Intestinal pathology in cystic fibrosis (CF) remains mechanistically underexplored.Aim:
We hypothesized that differential correlation network analysis of expression data would reveal hub genes of CF-related disturbance in the large bowel. Materials &methods:
Transcriptomes of 29 rectal tissue samples were accessed at ArrayExpress (E-GEOD-15568 by Stanke et al.).Results:
We identified 279 transcript pairs differentially correlating in CF and controls, including ESRRA and RPL18 (rCF = 0.55; rcontrols = -0.68; padj = 1.60 × 10-100), SRP14 and FAU (rCF = -0.69; rcontrols = 0.48; padj = 2.99 × 10-90), SRP14 and GDI2 (rCF = -0.34; rcontrols = 0.60; padj = 1.05 × 10-78). The genes related to membrane protein targeting (q = 8.34 × 10-14) and one cluster was clearly linked to male infertility.Conclusion:
FAU, SRP14 and GDI2 may be involved in a compensatory protein trafficking mechanism in CF rectum, highlighting their potential therapeutic value.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Fibrosis Quística
Límite:
Humans
/
Male
Idioma:
En
Revista:
Pharmacogenomics
Asunto de la revista:
FARMACOLOGIA
/
GENETICA MEDICA
Año:
2022
Tipo del documento:
Article
País de afiliación:
Polonia