인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background Cold exposure is associated with metabolic alterations. This study aims to investigate the effects and mechanisms of cold exposure on liver metabolism through the integration of transcriptomics and metabolomics. Methods Liver tissues from mice exposed to cold were subjected to RNA sequencing and liquid chromatography-mass spectrometry (LC-MS) for transcriptomic and metabolomic profiling, respectively. Differentially expressed genes (DEGs) and differentially expressed metabolites (DEMs) were identified. mRNA expression levels were validated by real-time polymerase chain reaction (RT-PCR). Gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and Reactome enrichment analyses were performed. Finally, transcriptomic and metabolomic data were integrated and analyzed. Results Cold exposure altered the transcriptomic and metabolomic profiles in the liver in cold exposed mice. Enrichment analyses were of DEGs and DEMs. Enrichment analyses of DEGs and DEMs revealed that DEGs were involved in pathways such as the PI3K-Akt signaling pathway, cytokine-cytokine receptor interaction, and cell adhesion molecules. DEMs were enriched in pathways related to membrane transport, nucleotide metabolism, and the metabolism of cofactors and vitamins. The integration of transcriptomic and metabolomic data identified several pathways potentially associated with cold exposure, such as the PI3K-Akt signaling pathway. Conclusion Cold exposure alters liver transcriptomic and metabolomic profiles in mice. The integrative analysis of transcriptomic and metabolomic data highlights the complexity of the liver's response to cold exposure and identifies potential targets for further investigation.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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