Ask about this productRelated genes to: DPP10 antibody
- Gene:
- DPP10 NIH gene
- Name:
- dipeptidyl peptidase like 10
- Previous symbol:
- -
- Synonyms:
- DPRP3, DPL2, DPPY
- Chromosome:
- 2q14.1
- Locus Type:
- gene with protein product
- Date approved:
- 2003-06-19
- Date modifiied:
- 2016-02-08
Related products to: DPP10 antibody
Related articles to: DPP10 antibody
- White adipose tissue (WAT) expansion occurs through generation of new adipocytes from adipose progenitor cells (APC). The objective of this study was to characterize and validate a new transcriptional profile of APC. - Source: PubMed
Publication date: 2026/02/03
Whytock Katie LDivoux AdelineGunsch GilianNie JiaKanshana Jitendra SBasantani Mahesh KRoss Zana MPino Maria FGlass CarleyMusi NicholasKershaw Erin ETownsend KristySmith Steven RSparks Lauren M - Sequence divergence within gene regulatory elements has been proposed to play an important role in the evolution of human-specific traits, including cortical expansion. However, the mutational processes that efficiently modify gene regulatory elements and the target genes upon which they act are poorly understood. We investigated the regulatory function and origins of the fastest evolved regions in the human genome, termed Human Ancestor Quickly Evolved Regions (HAQERs), in their native genomic context during human cerebral cortex development. - Source: PubMed
Publication date: 2025/12/01
Abeykoon YashodaraDzikowski NatalieLuo YantingSinniah EnakshiWeaver SethPavlovic Bryan JWallace Jenelle LMangan Riley JLowe Craig BPollen Alex A - Considering the distinct etiological pathways and molecular characteristics of different lung cancer subtypes, it is crucial to develop subtype-specific prevention strategies and therapeutic targets. This study aimed to identify protein biomarkers and potential therapeutic targets for specific subtypes of lung cancer by integrating population-based observational studies and Mendelian randomisation (MR) analyses. The cohort study was conducted in the UK Biobank, including about 47,000 participants whose blood samples were measured for 2,923 unique proteins and who were followed for the development of lung cancer. Two-sample MR was performed leveraging publicly available data from genome-wide association studies (GWAS) and protein quantitative trait loci (pQTL). Proteins were prioritised based on consistent associations across logistic regression, MR, transcriptomic validation and sensitivity analyses. Tier 1 proteins passed all evaluations, including GP1BA (squamous cell carcinoma) and ACADSB (small cell carcinoma). Tier 2 proteins, supported by transcriptomic evidence but not sensitivity analyses, included AGRN, ITGB2, SEPTIN3 (adenocarcinoma) and DPP10 (squamous cell carcinoma). Tier 3 proteins, supported by logistic regression and MR only, included CD5L, GNPDA, ACAN, C7, DMP1, HEPH, CEACAM6, COX6B1, CPXM2 and IL12RB2. Druggability evaluation suggests that existing drugs targeting ITGB2, GP1BA, ACADSB and COX6B1 could potentially be repurposed for the treatment of specific lung cancer subtypes. - Source: PubMed
Sun WenLiu JingyangLi JiayanLi NingZhang XiaoyuLi ChangweiZhang LiHe YanWu LijuanWang XiaoJi JianguangZheng Deqiang - Excessive adipose tissue accumulation in sheep disrupts insulin signaling, inducing insulin resistance, and alters energy partitioning mechanisms. These changes adversely affect both ovine health and production efficiency. This study employed whole-genome resequencing to conduct selection signal analysis in long-fat-tailed (Lanzhou fat-tailed sheep) and short-fat-tailed (Hu sheep) breeds, investigating the genetic basis underlying divergent lipid metabolism-related traits between these distinct tail phenotypes. Fifteen healthy adult individuals, each from long-fat-tailed (Lanzhou Large-tailed sheep) and short-fat-tailed (Hu sheep) breeds, underwent whole-genome resequencing. Whole-genome resequencing analyses via F, XP-CLR, and XP-EHH identified 75 significantly selected regions ( < 0.01), revealing eight key candidate genes (, , , , , , , ). Subsequent functional enrichment analysis demonstrated significant enrichment of and in lipid metabolic processes (GO:0006629). Employing whole-genome resequencing-based selection signal analysis in long-fat-tailed (Lanzhou Large-tailed sheep) and short-fat-tailed (Hu sheep) breeds, this study identified two key lipid metabolism-associated genes ( and ). These findings provide critical insights for conserving genetic resources and informing molecular breeding strategies targeting divergent tail phenotypes. - Source: PubMed
Publication date: 2025/10/20
Zhang XiaowenLi YufeiZhao YongqingGuo PenghuiCai YongXu HongweiCao XinLi QiongyiMa XiaoxiaZhang DerongBai Jialin - DNA methylation is a critical epigenetic modification that regulates gene expression and plays a significant role in cancer development. This methylation signature can be detected in cancer-derived DNA from non-invasive samples, such as plasma, urine or Pap smears. However, in early-stage cancers-when detection is most critical-the concentration of cancer DNA is often low, limiting the sensitivity of current detection methods. Traditional DNA methylation detection techniques, which rely on methylation ratio-based measurements, may obscure subtle variations in methylation patterns, further reducing detection sensitivity. In this study, we analyzed cervical scraping specimens and examined whether detecting cancer-specific methylation patterns in cervical cancer could be enhanced using a Highly Methylated Haplotype (HMH) approach. This novel approach captures highly methylated haplotypes at single-molecule resolution using next-generation sequencing, providing greater detail than conventional methods. HMHs in specific DNA regions are a hallmark of cancer and stand out in contrast to sporadic methylation commonly observed in non-cancerous tissues. We applied HMH profiling to a gene panel of four biomarkers (CA10, DPP10, FMN2, and HAS1) previously validated in cervical cancer studies. At pre-specified cutoffs (99th percentile of normals), haplotype-based scoring achieved 89.9% sensitivity for invasive cancer at high specificity (~ 94-98%), outperforming median (78.0%) and single-CpG (71.6%) methods. For clinically relevant endpoints, the combined panel detected 51-52% of CIN2 + and 66-67% of CIN3 + cases, again exceeding the performance of median- and single-CpG-based scoring methods.These findings demonstrate the potential of HMH to substantially enhance sensitivity in cervical cancer detection, offering a promising approach for non-invasive diagnostics. - Source: PubMed
Publication date: 2025/10/15
Cheishvili DavidEl-Zein MariamFranco Eduardo LSzyf Moshe