Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next-generation sequencing data analysis DOI Creative Commons
Basavaraj Vastrad, Chanabasayya Vastrad

Egyptian Journal of Medical Human Genetics, Journal Year: 2024, Volume and Issue: 25(1)

Published: Oct. 12, 2024

Abstract Background Endometriosis is a common cause of endometrial-type mucosa outside the uterine cavity with symptoms such as painful periods, chronic pelvic pain, pain intercourse and infertility. However, early diagnosis endometriosis still restricted. The purpose this investigation to identify validate key biomarkers endometriosis. Methods Next-generation sequencing dataset GSE243039 was obtained from Gene Expression Omnibus database, differentially expressed genes (DEGs) between normal control samples were identified. After screening DEGs, gene ontology (GO) REACTOME pathway enrichment analyses performed. Furthermore, protein–protein interaction (PPI) network constructed modules analyzed using Human Integrated Protein–Protein Interaction rEference database Cytoscape software, hub Subsequently, miRNAs genes, TFs miRNet NetworkAnalyst tool, possible predicted. Finally, receiver operating characteristic curve analysis used genes. Results A total 958 including 479 upregulated downregulated screened samples. GO DEGs showed that they mainly involved in multicellular organismal process, developmental signaling by GPCR muscle contraction. Further PPI identified 10 vcam1, snca, prkcb, adrb2, foxq1, mdfi, actbl2, prkd1, dapk1 actc1. Possible target miRNAs, hsa-mir-3143 hsa-mir-2110, TFs, tcf3 (transcription factor 3) clock (clock circadian regulator), predicted constructing miRNA-hub regulatory TF-hub network. Conclusions This bioinformatics techniques explore potential novel biomarkers. These might provide new ideas methods for diagnosis, treatment monitoring

Language: Английский

IGF2BP3 suppresses ferroptosis in lung adenocarcinoma by m6A-dependent regulation of TFAP2A to transcriptionally activate SLC7A11/GPX4 DOI
Pengpeng Li,

Dan Chu,

Guangcheng Ding

et al.

Molecular and Cellular Biochemistry, Journal Year: 2024, Volume and Issue: unknown

Published: July 18, 2024

Language: Английский

Citations

1

The Role of the Bone Morphogenetic Protein Antagonist Noggin in Nucleus Pulposus Intervertebral Disc Cells DOI Open Access

Shuimu Chen,

Sebastian F. Bigdon, Carsten Riether

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(21), P. 11803 - 11803

Published: Nov. 2, 2024

Low back pain (LBP) is a significant global health issue, contributing to disability and socioeconomic burdens worldwide. The degeneration of the human intervertebral disc (IVD) critical factor in pathogenesis LBP. Recent studies have emphasized significance specific set genes extracellular matrix (ECM) IVD health. In particular, Noggin has emerged as gene due its high expression levels healthy nucleus pulposus cells (NPCs) observed our previous research. this study, it was hypothesized that decreased NPCs associated with contributes LBP development. A lentivirus-mediated RNAi applied knock down primary from six donors. after transduction were evaluated through cell viability analysis, XTT assay, apoptosis analyses. After two weeks, colony formation assay used examine anchor-independent growth ability transduced cells. At transcript level, anabolic catabolic markers quantified using RT-qPCR. results demonstrated downregulation significantly inhibited proliferation, reduced viability, suppressed formation, while inducing vitro. Notably, disrupted cellular processes promoted activity post-transduction. Our findings indicated possibly related NPCs. This research provides valuable insights into role homeostasis implications treatment.

Language: Английский

Citations

1

IGF2BP3 curbed by miR-15c-3p restores disrupted lipid storage and progesterone secretion in chicken granulosa cells under oxidative stress through AKT-Raf1-ERK1/2 signaling pathway DOI Creative Commons
Zhongzhen Lin,

Yanrong Gong,

Chunlin Yu

et al.

Poultry Science, Journal Year: 2024, Volume and Issue: 104(2), P. 104761 - 104761

Published: Dec. 31, 2024

For commercial laying hens, the continuous high-intensity ovulation process leads to a significant accumulation of reactive oxygen species (ROS) in granulosa cells, inducing oxidative stress, which accelerates ovarian aging and shortens peak period. The molecular mechanisms underlying this remain poorly understood. Therefore, we modeled processes stress antioxidant chicken cells. Small RNA sequencing revealed that miR-15c-3p expression was elevated by induction attenuated curcumin. Functional validation with mimic inhibitor confirmed role exacerbating resultant suppression lipid droplet storage progesterone secretion cells targeting insulin-like growth factor 2 binding protein 3 (IGF2BP3). These regulatory effects were mediated through sequential downstream signaling cascade AKT-Raf1-ERK1/2. In conclusion, IGF2BP3 curbed restores disrupted under AKT-Raf1-ERK1/2 pathway. findings offer new insights into damages reproductive capacity theoretical basis for mitigating hens genetic improvement.

Language: Английский

Citations

1

Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next-generation sequencing data analysis DOI Creative Commons
Basavaraj Vastrad, Chanabasayya Vastrad

Egyptian Journal of Medical Human Genetics, Journal Year: 2024, Volume and Issue: 25(1)

Published: Oct. 12, 2024

Abstract Background Endometriosis is a common cause of endometrial-type mucosa outside the uterine cavity with symptoms such as painful periods, chronic pelvic pain, pain intercourse and infertility. However, early diagnosis endometriosis still restricted. The purpose this investigation to identify validate key biomarkers endometriosis. Methods Next-generation sequencing dataset GSE243039 was obtained from Gene Expression Omnibus database, differentially expressed genes (DEGs) between normal control samples were identified. After screening DEGs, gene ontology (GO) REACTOME pathway enrichment analyses performed. Furthermore, protein–protein interaction (PPI) network constructed modules analyzed using Human Integrated Protein–Protein Interaction rEference database Cytoscape software, hub Subsequently, miRNAs genes, TFs miRNet NetworkAnalyst tool, possible predicted. Finally, receiver operating characteristic curve analysis used genes. Results A total 958 including 479 upregulated downregulated screened samples. GO DEGs showed that they mainly involved in multicellular organismal process, developmental signaling by GPCR muscle contraction. Further PPI identified 10 vcam1, snca, prkcb, adrb2, foxq1, mdfi, actbl2, prkd1, dapk1 actc1. Possible target miRNAs, hsa-mir-3143 hsa-mir-2110, TFs, tcf3 (transcription factor 3) clock (clock circadian regulator), predicted constructing miRNA-hub regulatory TF-hub network. Conclusions This bioinformatics techniques explore potential novel biomarkers. These might provide new ideas methods for diagnosis, treatment monitoring

Language: Английский

Citations

0