Ask about this productRelated genes to: MYL12B antibody
- Gene:
- MYL12B NIH gene
- Name:
- myosin light chain 12B
- Previous symbol:
- -
- Synonyms:
- MRLC2
- Chromosome:
- 18p11.31
- Locus Type:
- gene with protein product
- Date approved:
- 2009-03-06
- Date modifiied:
- 2015-11-13
Related products to: MYL12B antibody
Related articles to: MYL12B antibody
- Despite the use of lipid-lowering and anti-inflammatory treatments, the progression of atherosclerosis is relentless in most patients. This suggests the presence of in situ pathological factors that continuously exacerbate lesions. We hypothesized that extracellular vesicles (EVs) within the atherosclerotic microenvironment might act as in situ stimulatory factors on vascular smooth muscle cells (VSMCs), thereby exacerbating atherosclerosis. - Source: PubMed
Publication date: 2026/03/05
Wang JiaShi XuanWang DiGao JieHuang KangmoLi JuanjiDong WeichenLi YunziGuo HongquanWang YiHuang ZhenqianLiu ZhihuiHuang LiPan LiangyuanLiu XinfengZhu WushengPeng MengnaXu Gelin - Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication of sepsis, characterized by high mortality and prolonged hospitalization. Early diagnosis and effective therapy remain difficult despite extensive investigation. To address this, we developed an AI-driven integrative framework that combines a Transformer-based deep learning model with established machine learning techniques (LASSO, SVM-RFE, Random Forest and neural networks) to uncover complex, nonlinear interactions among gene-expression biomarkers. Analysis of normalized microarray data from GEO (GSE95233 and GSE69063) identified differentially expressed genes (DEGs), and KEGG/GO enrichment via clusterProfiler revealed key pathways in immune response, protein synthesis, and antigen presentation. By integrating multiple transcriptomic cohorts, we pinpointed 617 SA-AKI-associated DEGs-21 of which overlapped between sepsis and AKI datasets. Our Transformer-based classifier ranked five genes (, , , and ) as top diagnostic markers, with AUC values ranging from 0.9395 to 0.9996 (MYL12B yielding 0.9996). Drug-gene interaction mining using DGIdb (FDR < 0.05) nominated 19 candidate therapeutics for SA-AKI. Together, these findings demonstrate that melding deep learning with classical machine learning not only sharpens early SA-AKI detection but also systematically uncovers actionable drug targets, laying groundwork for precision intervention in critical care settings. - Source: PubMed
Publication date: 2025/05/16
Zhai ZhendongPeng JunZheZhong WenjunTao JunAo YaqiNiu BailinZhu Li - Epigallocatechin gallate (EGCG), a frequently studied catechin in green tea, has been shown to be involved in the antiproliferation and apoptosis of human Nasopharyngeal carcinoma (NPC) cells. However, the pharmacological targets and mechanism by which EGCG can combat NPC patients remain to be studied in detail. - Source: PubMed
Publication date: 2025/05/12
Yang YuhangLuo WenqiFeng ZhangChen XiaoyuLi JinqingZuo LongDuan MeijiaoHe XiaosongWang WenhuaHe FengLiu Fangxian - Current diagnostic methods for JIA lack specificity, often failing to distinguish it from other childhood diseases of similar clinical presentations. The present study is a comparative cross-sectional study that identified potential biomarkers using label-free mass spectrometry and bioinformatics. Two differentially expressed proteins (DEPs), Myosin light chain 12b (Myl12b) and Mannose-binding lectin serine protease 1 (MASP1), showed increased expression in JIA patients. Receiver operating characteristic (ROC) analysis revealed strong predictive power (AUC: Myl12b = 0.757, MASP1 = 0.855), validated in a separate cohort via Western blot and ELISA. These findings suggest Myl12b and MASP1 as promising biomarkers for JIA diagnosis and treatment. Data: ProteomeXchange (PXD058863). - Source: PubMed
Publication date: 2025/02/11
Mohan VandithaKrishnan SajithaBalan SumaDas SonuEarali JerryMaria EvelynNair DevakiJohn Mathew - Topologically associating domain (TAD) reorganization commonly occurs in the cell nucleus and contributes to gene activation and inhibition through the separation or fusion of adjacent TADs. However, functional genes impacted by TAD alteration and the underlying mechanism of TAD reorganization regulating gene transcription remain to be fully elucidated. Here, we first developed a novel approach termed Inter3D to specifically identify genes regulated by TAD reorganization. Our study revealed that the segregation of TADs led to the disruption of intrachromosomal looping at the myosin light chain 12B (MYL12B) locus, via the meticulous reorganization of TADs mediating epigenomic landscapes within tumor cells, thereby exhibiting a significant correlation with the down-regulation of its transcriptional activity. Conversely, the fusion of TADs facilitated intrachromosomal interactions, suggesting a potential association with the activation of cytochrome P450 family 27 subfamily B member 1 (CYP27B1). Our study provides comprehensive insight into the capture of TAD rearrangement-mediated gene loci and moves toward understanding the functional role of TAD reorganization in gene transcription. The Inter3D pipeline developed in this study is freely available at https://github.com/bm2-lab/inter3D and https://ngdc.cncb.ac.cn/biocode/tool/BT7399. - Source: PubMed
Ding TianyiFu ShaliuZhang XiaoyuYang FanZhang JixingXu HaowenYang JiaqiChen ChaoqunShi YibingBai YiranLi WannianChang XindiWang ShanjinZhang ChaoLiu QiZhang He