Year: 2026
Type: article
Abstract: Complex transcriptional and epigenetic regulation, including variation in promoter-level cis-regulatory architecture, influences infertility. In this study, we performed a purely in silico analysis of the −1000 to −1 bp promoter regions (relative to the annotated TSS) of 13 human fertility-related genes using an integrated motif-discovery and annotation workflow (NNPP, MEME/STREME, Tomtom, FIMO/CentriMo, GOMo, and MethPrimer). Motif discovery identified multiple statistically supported de novo promoter motifs, and motif scanning mapped their occurrences across the analyzed promoters. Similarity searches against curated PWM databases did not yield significant matches under stringent criteria, consistent with divergent or under-represented motif patterns. Functional association analysis and CpG island profiling further highlighted promoter segments that merit prioritization for follow-up testing. As the analysis is purely in silico and restricted to a fixed promoter window, the identified motifs should be interpreted as candidate regulatory elements pending experimental validation.
Source: Applied Biosciences
Authors: Daniela Hristov, Done Stojanov
Institution: Goce Delcev University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,207
OpenAlex ID: W7128928191
FWCI:
Cites:
Cited by:
Related to: