Ask about this productRelated genes to: PCDHAC2 antibody
- Gene:
- PCDHAC2 NIH gene
- Name:
- protocadherin alpha subfamily C, 2
- Previous symbol:
- -
- Synonyms:
- PCDH-ALPHA-C2
- Chromosome:
- 5q31.3
- Locus Type:
- complex locus constituent
- Date approved:
- 2000-06-28
- Date modifiied:
- 2016-10-05
Related products to: PCDHAC2 antibody
Related articles to: PCDHAC2 antibody
- Chronic stress significantly impacts hippocampal function through transcriptional and epigenetic mechanisms. While the roles of lncRNAs in stress-related transcriptional and epigenetic regulation have recently been recognized, their genome-wide functions controlling the transcriptional network remain largely unclear. Evidence indicates that the lncRNA uc.104 is involved in stress responses; however, its genome-wide chromatin interactions and gene regulatory effects are yet to be explored. To examine this, we combined chromatin isolation by RNA purification sequencing (ChIRP-seq) and RNA sequencing (RNA-seq) in the hippocampus from handled control and chronic restraint stress (CRS) rats. ChIRP-seq identified 6,664 uc.104 binding peaks under CRS, including 6,517 enriched and 149 reduced. Many peaks were mapped to intronic and promoter-proximal regions of protein-coding genes. Integration of ChIRP-seq with RNA-seq data revealed 1,839 differentially expressed genes associated with uc.104 binding sites, with 106 high-confidence overlaps. Several genes (Gabra3, Htr7, Irs1, Gpr37, Clu, Hspa1b, Ppp3r2, Nfasc, Pcdhac2, and Cysltr2) identified as regulatory targets of uc.104, have been directly implicated in stress responses, synaptic plasticity, and neuroinflammation. Gene ontology and Synapse GO (SynGO) analyses revealed significant enrichment for processes involving dendritic spine formation, synapse organization, and pre- and postsynaptic signaling. Protein-protein interaction analysis identified hub genes, including EGFR, CDC42, IGF1R, CTNNB1, CALM1, CALM3, POLR2A, MDM2, TBP, and CSNK1E, several of which have been linked to stress-responsive pathways. Together, our findings reveal that uc.104 binding to chromatin near stress- and synapse-related genes may act as a regulator of stress-responsive transcriptional networks in the hippocampus. By linking uc.104 occupancy to stress and synaptic responsive genes, this study highlights uc.104 as a potential mediator of stress-induced hippocampal malfunctions. - Source: PubMed
Publication date: 2026/04/19
Verma Anuj KRoy BhaskarPrall KevinHulwi EllieDwivedi Yogesh - Long tails trigger tail biting in pigs and increase the risk of flystrike infections in sheep. Tail docking has been a common management practice in both species for decades, but increasingly conflicts with legal animal welfare guidelines. Sustainable solutions require breeding strategies targeting shorter tails. In consequence, the aims were to conduct whole-genome sequencing (WGS)-based genome-wide association studies (GWAS) and comparative genomic analyses (CGA) to explore functional elements influencing tail traits. Phenotypically divergent experimental populations of pigs and sheep were established through unified selection and mating experiments. Tail traits included tail length (TL) measured at birth, and tail abnormalities (TA) assessed radiographically at 14 weeks of age. WGS-based GWAS identified a significant locus on SSC18 in pigs and suggestive loci for TL in both species, which, together with previously reported loci for TA, were further analyzed by CGA. The genomic windows of the significant locus on SSC18 in pigs and the TL GWAS locus on OAR4 in sheep were found to be conserved, harboring six common genes with predicted functional variants. These variants were jointly associated with TL (Plm < 0.05) in both species in linear regression models adjusted for sex, age of the dam, body length, and body weight. In other GWAS locus windows (±1 Mb), species-specific TL candidate genes were identified in sheep (HOXB13, MUC5B, EPB41L3, MTCL1, PIEZO2, MPPE1, and LOXHD1) and in pigs (KNL1, DISP2, SPRED1, TGFB2, and HAND1), each harboring associated putative functional variants. For TA, sheep-specific candidates (PGM2, LRRC66, CRACD, LOC105601916, and SH2D4B) and pig-specific candidates (MYOT, TMCO6, and PCDHAC2) were revealed using logistic regression models (Pglm < 0.05). GO analyses of candidate genes predicted shared biological processes between sheep and pigs, whereas pathway analyses indicated that common carbohydrate metabolism pathways, along with species-specific immune and inflammatory signaling, and pig-specific TGF-β signaling and endochondral ossification, may contribute to tail length variation and abnormalities. These findings provided deeper insights into the genetic basis of differential embryonic tail morphogenesis and perinatal tail development across species. - Source: PubMed
Publication date: 2026/03/03
Zhang XuyingMainzer JohannaGiambra IsabellaYin TongEngel PetraHümmelchen HannahWagner HenrikWehrend AxelEgerer ChristianeGerhards KatharinaReiner GeraldKönig Sven - Objective of this study is to conduct a genome-wide association study (GWAS) of first-parity reproductive traits in Suzi pigs to identify significant single-nucleotide polymorphisms (SNPs) or candidate genes influencing these traits. - Source: PubMed
Publication date: 2025/11/06
Fu YanfengLi WeiningDai ChaohuiLiao ChaoCheng JinhuaLi HuiZhao Weimin - Epilepsy is a highly heterogeneous disorder thought to have strong genetic components. However, identifying these risk factors using whole-exome sequencing studies requires very large sample sizes and good signal-to-noise ratio in order to assess the association between rare variants in any given gene and disease. We present an approach for predicting constraint in the human genome through application of a Hidden Markov Model (HMM) to whole exome sequencing (WES) data. Using the Regeneron Genetics Center Million Exome dataset and the AllofUs whole genome sequencing data, we predict the probability of observing no variants across the population for each position in the genome. We then incorporate the predictions with the "rejected substitutions" (RS) score from Genomic Evolutionary Rate Profiling (GERP), pathogenicity predictions from AlphaMissense (AM), and pLoF/Missense annotations from Epi25 into a model that detects epilepsy-associated genes. We identify a set of significant ( < 3. 4 × 10 ) genes which did not meet exome-wide significance in previous studies: , and ,. Our models allow us to evaluate the contribution of constraint, protein structure based pathogenicity prediction from AM, and pLoFs jointly. We show that unifying these moderators into a single model allows us to both strengthen our evidence for genes with already-known links to epilepsy and also identify new genes with likely links to epilepsy. - Source: PubMed
Publication date: 2025/10/23
Aguilar OscarRivas MijailRivas Manuel A - To investigate the biological behavior, differentiation ability, and differential gene expression of lymph node mesenchymal stem cells (MSCs) in patients with diffuse large B-cell lymphoma (DLBCL) and reactive lymphoid hyperplasia (RLH), providing a theoretical basis for clinical chemotherapy resistance. - Source: PubMed
Ma Yu-ShuoLiu Zhi-HeSun YangZhang Yu-HangWang Wen-QiuWang Li-ShengZhao Xia