Genome Wide Study Of Liver Inflammation Related Genes And Evolutionary Relationship Between Human (Homo Sapiens) And Chimpanzee (Pan Troglodytes)

This study employs computational analysis to identify and characterize liver inflammation-related genes in humans. Focusing on five genes including as mitogen-activated protein kinase 1 (MAPK1), integrin subunit alpha 2 (ITGA2), cyclin dependent kinase 2 (CDK2), interleukin 6 (IL6), and 2'-5'-oligoadenylate synthetase 2 (OAS2), the research includes gene sequence retrieval (NCBI), chromosomal mapping, gene structure prediction, motif analysis, protein-protein interaction networks, and gene ontology annotation. The analysis reveals that these genes are randomly distributed across chromosomes and are involved in key biological processes related to liver inflammation. Protein-protein interaction analysis identifies ITGA2 as a central gene with high interaction degrees. Gene ontology results show IL6 and OAS2 significant roles in the defense response to viruses. OSA2 –Hs gene showed more phylogeny with OSA2 –Pt while showed larger diversity with MAPK1-Hs visualized by phylogenetic. Expression analysis showed that CDK2 gene showed up-regulation in telencephalon (high expression).The findings offer insights into liver inflammation mechanisms and suggest potential biomarkers for early disease monitoring and therapeutic strategies. Further experimental validation is needed to confirm these computational predictions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-29
DOI
https://doi.org/10.5281/zenodo.13497126
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genome Wide Study Of Liver Inflammation Related Genes And Evolutionary Relationship Between Human (Homo Sapiens) And Chimpanzee (Pan Troglodytes)

Zenodo (CERN European Organization for Nuclear Research)
Ferroptosis and cancer prognosis
article

Genome Wide Study Of Liver Inflammation Related Genes And Evolutionary Relationship Between Human (Homo Sapiens) And Chimpanzee (Pan Troglodytes)

article en

Abstract

This study employs computational analysis to identify and characterize liver inflammation-related genes in humans. Focusing on five genes including as mitogen-activated protein kinase 1 (MAPK1), integrin subunit alpha 2 (ITGA2), cyclin dependent kinase 2 (CDK2), interleukin 6 (IL6), and 2'-5'-oligoadenylate synthetase 2 (OAS2), the research includes gene sequence retrieval (NCBI), chromosomal mapping, gene structure prediction, motif analysis, protein-protein interaction networks, and gene ontology annotation. The analysis reveals that these genes are randomly distributed across chromosomes and are involved in key biological processes related to liver inflammation. Protein-protein interaction analysis identifies ITGA2 as a central gene with high interaction degrees. Gene ontology results show IL6 and OAS2 significant roles in the defense response to viruses. OSA2 –Hs gene showed more phylogeny with OSA2 –Pt while showed larger diversity with MAPK1-Hs visualized by phylogenetic. Expression analysis showed that CDK2 gene showed up-regulation in telencephalon (high expression).The findings offer insights into liver inflammation mechanisms and suggest potential biomarkers for early disease monitoring and therapeutic strategies. Further experimental validation is needed to confirm these computational predictions.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 44%
Ferroptosis and cancer prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.