Ask about this productRelated genes to: SMC4 antibody
- Gene:
- SMC4 NIH gene
- Name:
- structural maintenance of chromosomes 4
- Previous symbol:
- SMC4L1
- Synonyms:
- hCAP-C, CAP-C
- Chromosome:
- 3q25.33
- Locus Type:
- gene with protein product
- Date approved:
- 2001-02-22
- Date modifiied:
- 2016-10-05
Related products to: SMC4 antibody
Related articles to: SMC4 antibody
- Regulated cell death (RCD) is closely involved in immune dysregulation and organ injury during sepsis, yet the coordinated transcriptional features of multiple RCD modalities and their relevance to sepsis heterogeneity remain insufficiently characterized. Using the whole-blood transcriptomic cohort GSE65682, we performed consensus clustering of RCD-associated genes and identified four molecular subtypes among 479 patients with sepsis. Cluster 3 showed the poorest 28-day survival (log-rank p = 0.034) and was characterized by a distinct mixed immune transcriptional profile. A sensitivity analysis restricted to apoptosis-, ferroptosis-, necroptosis-, and pyroptosis-associated genes reproduced the primary four-cluster structure and retained the high-risk features of Cluster 3. Integrated differential-expression analysis, weighted gene co-expression network analysis, and complementary machine-learning approaches identified a six-gene signature comprising SMC4, SLC5A6, POLR3GL, MAD2L2, EXOC7, and COG1. The resulting RCD.score closely captured the transcriptional phenotype of Cluster 3. In the external GSE54514 cohort, patients with higher RCD.score values had higher APACHE II scores, and exploratory joint stratification identified a subgroup with both high APACHE II and high RCD.score that had the highest observed mortality. Single-cell analysis localized much of the RCD.score-associated signal to monocyte and dendritic-cell populations. Sample-level analyses showed the clearest sepsis-associated increase in monocytes, with MAD2L2 making the largest positive contribution among the six signature genes. In THP-1 cells, LPS stimulation increased MAD2L2, TNF-α, and IL-1β protein expression, whereas MAD2L2 knockdown reduced these inflammatory proteins and decreased GSDMD-N abundance and caspase-1 processing under both LPS and LPS + ATP conditions. These findings define an RCD-associated high-risk sepsis subtype, provide a cell-type-resolved view of its molecular features, and identify MAD2L2 as a candidate involved in monocyte inflammatory and pyroptosis-associated responses. - Source: PubMed
Publication date: 2026/08/27
Luo LifangCao DongLiao ZhaoxiaLin ChongyangWang AnhuiZeng LeYang JieSong WenDeng Yiyu - Microalgae-bacteria interactions represent a promising approach for improving microalgal growth and biomass productivity, with potential applications in biofuel production, wastewater remediation, and the synthesis of value-added bioproducts. In this study, enriched microalgae consortia from the Tallahassee Wastewater Treatment Facility were first characterized using shotgun metagenomic sequencing to assess their taxonomic composition and functional potential. The consortia were dominated by Chlorella species and associated with diverse bacterial communities. Subsequently, bacterial strains were isolated and characterized to evaluate their potential as natural growth enhancers for microalgae. Eight bacterial isolates, Mesorhizobium sp., Enterococcus avium, Stenotrophomonas sp., Agrobacterium tumefaciens, Citrobacter freundii, Cellulosimicrobium sp., Stenotrophomonas pavanii, and Mycobacterium sp. SMC-4 were identified through 16 S rRNA sequencing and phylogenetic analysis. The influence of these isolates on microalgae was assessed using a membrane-separated coculture system that enabled metabolite exchange without direct cell-to-cell contact. Microalgal growth, monitored through optical density (OD) at 680 nm over 18 days, showed significant enhancement across all bacterial treatments compared to the reference (microalgae without bacteria). The most pronounced effects were observed with Mesorhizobium sp., Enterococcus avium, Stenotrophomonas sp., and Agrobacterium tumefaciens, which exhibited the highest growth responses. These findings suggest that wastewater-derived bacteria can substantially enhance microalgal growth performance, likely through metabolite-mediated interactions. This study expands the repository of algal-supportive bacterial taxa and highlights the potential of targeted microalgae-bacteria consortia for scalable and sustainable bioprocessing. - Source: PubMed
Publication date: 2026/06/30
Mwazembe Kerstin JosephChauhan AshviniPathak AshishChukwujindu Christian - Pulmonary arterial hypertension (PAH) is characterized by aberrant vascular remodeling driven in part by excessive proliferation of pulmonary arterial smooth muscle cells (PASMCs). However, the molecular determinants underlying this cancer-like phenotype remain incompletely defined. - Source: PubMed
Publication date: 2026/06/17
Lu TingyueZhao YingZhang JiananChen HongyuBai YuxiJia JinhongChen HuitingYin JialianChen ShifanWang WentingWang HuanliangYu Xiufeng - - Source: PubMed
Publication date: 2026/06/06
Sun XuedanHe LifangLiu HongThorne Rick FrancisZeng TaofeiLiu LiuZhang BoHe MiaoHuang YabinLi MingyueGao EnyiMa MengyaoCheng ChengMeng FanzhengLang ChuandongLi HairuiXiong WanxiangPan ShixiangRen DelongDang BingyiYang YiWu MianLiu Lianxin - Accumulation of mutant mitochondrial DNA (mtDNA) heteroplasmy is among the strongest signatures of ageing. Here we investigated the underlying mechanism by calling mtDNA sequence, mtDNA abundance and mtDNA heteroplasmic variants in human blood using whole-genome sequences from approximately 750,000 individuals. We observed that mtDNA single-nucleotide variants (mtSNVs) accumulate sharply at age 60 years, occur at low levels of heteroplasmy, exhibit little evidence of positive selection and are likely to be predominantly neutral. The mutational spectrum of mtSNVs does not reflect oxidative lesions, as is commonly invoked, but is more consistent with mtDNA replication errors. To understand why mtSNVs become detectable with age, we performed a genome-wide association study for heteroplasmic mtSNV burden, identifying germline variants near TERT, TCL1A and SMC4, all of which have been linked to clonal haematopoiesis (CH). Rare-variant analysis also showed that high mtSNV burden is associated with mutations in numerous CH driver genes. These genetic associations persisted even after exclusion of individuals with known CH driver mutations. Our results support a model in which 'cryptic' mtDNA mutations initially arise randomly as replication errors but are undetectable in bulk. They then become apparent only through age-related expansion of cellular clones in blood. We propose that the high copy number and mutation rate of mtDNA make it a sensitive blood-based marker of somatic mosaicism due to CH. Our work mechanistically unifies three prominent signatures of ageing: common germline variants in TERT, CH and observed accrual of mtDNA mutations. - Source: PubMed
Publication date: 2026/05/27
Gupta RahulDurham Timothy JChau GrantKanai MasahiroUddin Md MesbahLu WenhanArgentieri M AustinKarczewski Konrad JHowrigan DanielNatarajan PradeepZhou WeiNeale Benjamin MMootha Vamsi K