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

Epigenetic regulation in female reproduction: the impact of m6A on maternal-fetal health DOI Creative Commons
Peipei Li,

Yumeng Lin,

Hongyun Ma

et al.

Cell Death Discovery, Journal Year: 2025, Volume and Issue: 11(1)

Published: Feb. 4, 2025

Language: Английский

Citations

1

m6A-driven NAT10 translation facilitates fatty acid metabolic rewiring to suppress ferroptosis and promote ovarian tumorigenesis through enhancing ACOT7 mRNA acetylation DOI
Yujiao Liu, Li Jia, Jie Xu

et al.

Oncogene, Journal Year: 2024, Volume and Issue: 43(48), P. 3498 - 3516

Published: Oct. 10, 2024

Language: Английский

Citations

4

High expression of stearoyl-coenzyme A desaturase in colorectal cancer oncogenic functions and its potential as a therapeutic target DOI

Xiao-Wei Wang,

Wan‐Ying Huang, Kai Qin

et al.

World Journal of Gastrointestinal Surgery, Journal Year: 2025, Volume and Issue: 17(2)

Published: Jan. 20, 2025

BACKGROUND The stearoyl-coenzyme A desaturase (SCD ) gene influences colorectal cancer (CRC) pathogenesis, with its expression linked to tumor cell survival and resistance, necessitating further investigation into role in CRC. AIM To explore the clinical pathological significance of SCD CRC tissues evaluate affinity between nitidine chloride (NC) as a target. METHODS Multi-center high-throughput data related were integrated calculate standardized mean difference mRNA levels. Immunohistochemical staining results, Clustered Regularly Interspaced Short Palindromic Repeats knockout screening results growth, single-cell sequencing employed verify was assessed using pooled receiver operating characteristic curves, sensitivity, specificity, likelihood ratios. molecular mechanism NC against clarified SwissTarget Prediction functional enrichment, docking techniques utilized targeting SCD. RESULTS Data from 18 platforms, including 2482 samples 1334 non-cancerous tissue controls. significantly upregulated CRC, 2.05 [95% confidence interval (CI): 1.69-2.41]. area under curve 0.95 (95%CI: 0.92-0.96), sensitivity 0.86 0.81-0.90) specificity 0.90 0.87-0.93). Positive negative ratios 9.02 6.49-12.51) 0.15 0.10-0.22), respectively. High protein noted 208 patients, associated vascular invasion (P < 0.001). At level, overexpressed cells total 33 lines depended on for growth. potential might involve modulation cycle, positioning target NC. CONCLUSION promotes growth thus acts an oncogenic factor, making it therapeutic treatment.

Language: Английский

Citations

0

Epitranscriptomic Role of m6A in Obesity-Associated Disorders and Cancer Metabolic Reprogramming DOI Open Access
Sujun Yan, Weiping Wen, Zhe Mo

et al.

Genes, Journal Year: 2025, Volume and Issue: 16(5), P. 498 - 498

Published: April 27, 2025

The global rise in obesity and its associated metabolic disorders underscores the need for a deeper investigation into their underlying molecular mechanisms. While genetic factors are well-established contributors, recent research has increasingly focused on epigenetic regulators, particularly N6-methyladenosine (m6A)—the most prevalent internal RNA modification eukaryotes. This post-transcriptional plays crucial role metabolism by regulating mRNA stability, splicing, nuclear export, translation efficiency. Notably, emerging evidence implicates m6A both adipogenesis dysregulation. In this review, we systematically examine three key dimensions: (1) mechanisms of modification, including writers, erasers, readers, obesity; (2) dysregulated patterns obesity-related pathologies, such as type 2 diabetes (T2D), insulin resistance, dysfunction-associated steatotic liver disease (MASLD), glycolysis cancer cells; (3) therapeutic potential targeting regulators. By critically assessing advancements, highlight m6A’s dual sensor modulator, offering novel insights strategies combating syndromes.

Language: Английский

Citations

0

Unveiling the Impact of ApoF Deficiency on Liver and Lipid Metabolism: Insights from Transcriptome-Wide m6A Methylome Analysis in Mice DOI Open Access
Xue‐Bin Shen, Mengting Chen, Jian Zhang

et al.

Genes, Journal Year: 2024, Volume and Issue: 15(3), P. 347 - 347

Published: March 9, 2024

Lipid metabolism participates in various physiological processes and has been shown to be connected the development progression of multiple diseases, especially metabolic hepatopathy. Apolipoproteins (Apos) act as vectors that combine with lipids, such cholesterol triglycerides (TGs). Despite being involved lipid transportation metabolism, critical role Apos maintenance still not fully revealed. This study sought clarify variations related m6A methylome ApoF gene knockout mice disordered based on bioinformatics method transcriptome-wide epitranscriptomics. High-throughput methylated RNA immunoprecipitation sequencing (MeRIP-seq) was conducted both wild-type (WT) (KO) mice. As a result, liver histopathology presented vacuolization steatosis, serum biochemical assays reported abnormal content KO The m6A-modified mRNAs were conformed consensus sequenced eukaryotes, distribution enriched within coding sequences 3′ non-coding regions. In mice, functional annotation terms differentially expressed genes (DEGs) included cholesterol, steroid storage. m6A-methylated mRNAs, TG, long-chain fatty acid processes; transport; development. overlapping DEGs differential also disorder. conclusion, MeRIP demonstrated this crucial apolipoprotein health metabolism.

Language: Английский

Citations

3

Comprehensive analysis of stearoyl-coenzyme A desaturase in prostate adenocarcinoma: insights into gene expression, immune microenvironment and tumor progression DOI Creative Commons
Jie Wang, Ying Liang,

He Xiong

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 16, 2024

Prostate adenocarcinoma (PRAD) is a prevalent global malignancy which depends more on lipid metabolism for tumor progression compared to other cancer types. Although Stearoyl-coenzyme A desaturase (SCD) documented regulate in multiple cancers, landscape analysis of its implications PRAD are still missing at present. Here, we conducted an diverse datasets revealing elevated SCD expression the cohort both mRNA and protein levels. Interestingly, was associated with promoter hypermethylation genetic alterations, notably L134V mutation. Integration comprehensive immunological genomic data revealed robust positive correlation between levels abundance CD8 + T cells macrophages. Further analyses identified significant associations various immune markers microenvironment. Single-cell transcriptomic profiling unveiled differential patterns across distinct cell types within prostate The Gene Ontology Kyoto Encyclopedia Genes Genome showed that enriched pathways were primarily related biosynthesis, cholesterol endoplasmic reticulum membrane functions, metabolic pathways. Set Enrichment Analysis highlighted involvement crucial cellular processes, including cycle biosynthesis cofactors In functional studies, overexpression promoted proliferation, metastasis invasion cells, whereas downregulation inhibits these processes. This study provides insights into multifaceted roles pathogenesis, underscoring potential as therapeutic target prognostic biomarker.

Language: Английский

Citations

3

m6A modification of RNA in cervical cancer: role and clinical perspectives DOI Creative Commons
Yajuan Gao, Qi Guo, L.‐C. Yu

et al.

RNA Biology, Journal Year: 2024, Volume and Issue: 21(1), P. 49 - 61

Published: Sept. 30, 2024

N6-methyladenosine (m6A) is widely recognized as the predominant form of RNA modification in higher organisms, with capability to finely regulate metabolism, thereby influencing a series crucial physiological and pathological processes. These processes include regulation gene expression, cell proliferation, invasion metastasis, cycle control, programmed death, interactions within tumour microenvironment, energy immune regulation. With advancing research into mechanisms methylation, pivotal role m6A pathophysiology reproductive system tumours, particularly cervical cancer, has been progressively unveiled. This discovery opened new avenues presented significant potential for diagnosis, prognostic evaluation, treatment diseases. review delves deeply biological functions its action onset progression cancer. Furthermore, it explores prospects precision diagnosis aiming provide perspectives theoretical basis innovative advanced strategies

Language: Английский

Citations

2

Epitranscriptomics and cervical cancer: the emerging role of m6A, m5C and m1A RNA modifications DOI
Akshat D. Modi,

Hira Zahid,

Ashlyn Chase Southerland

et al.

Expert Reviews in Molecular Medicine, Journal Year: 2024, Volume and Issue: 26

Published: Jan. 1, 2024

Abstract Cervical cancer (CC), one of the most prevalent and detrimental gynaecologic cancers, evolves through genetic epigenetic alterations resulting in promotion oncogenic activity dysfunction tumour-suppressing mechanisms. Despite medical advancement, prognosis for advanced-stage patients remains extremely low due to high recurrence rates resistance existing treatments. Thereby, search potential prognostic biomarkers is heightened unravel new modalities CC pathogenesis develop novel anti-cancer therapies. Epitranscriptomic modifications, reversible RNA regulate various biological processes by deciding fate mediating interactions. This narrative review provides insight into cellular molecular roles endogenous RNA-editing proteins their associated epitranscriptomic especially N 6 -methyladenosine (m A), 5-methylcytosine 5 C) 1 governing development, progression metastasis CC. We discussed in-depth mechanisms underlying regulation over 50 RNAs responsible tumorigenesis, proliferation, migration, invasion, survival, autophagy, stemness, epithelial-mesenchymal transition, metabolism (glucose, lipid, glutamate glutamine), (drug radiation), angiogenesis Additionally, we provided a concise overview therapeutic targeting altered expression aberrant deposition modifications on both coding non-coding

Language: Английский

Citations

2

IGF2BP3 boosts lactate generation to accelerate gastric cancer immune evasion DOI
Kai‐Hsin Lin,

Xiufeng Lin,

Fan Luo

et al.

APOPTOSIS, Journal Year: 2024, Volume and Issue: 29(11-12), P. 2147 - 2160

Published: Oct. 13, 2024

Language: Английский

Citations

2

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

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 8, 2024

Abstract 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. Next generation sequencing (NGS) dataset GSE243039 was obtained from Gene Expression Omnibus (GEO) 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 analysed using Human Integrated Protein-Protein Interaction rEference (HIPIE) database Cytoscape software, hub Subsequantely, miRNAs genes, TFss miRNet NetworkAnalyst tool, possible TFs predicted. Finally, receiver operating characteristic curve (ROC) analysis used genes. A total 958 including 479 up regulated down 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 CLOCK, predicted constructing miRNA-hub regulatory TF-hub network. This bioinformatics techniques explore potential novel biomarkers. These might provide new ideas methods for diagnosis, treatment, monitoring

Language: Английский

Citations

1