Ask about this productRelated genes to: DPP6 antibody
- Gene:
- DPP6 NIH gene
- Name:
- dipeptidyl peptidase like 6
- Previous symbol:
- -
- Synonyms:
- DPPX, DPL1
- Chromosome:
- 7q36.2
- Locus Type:
- gene with protein product
- Date approved:
- 1993-02-11
- Date modifiied:
- 2016-02-08
Related products to: DPP6 antibody
Related articles to: DPP6 antibody
- The Leizhou black goat is a prized indigenous breed in southern China, renowned for its superior meat quality. However, its productivity is constrained by a relatively small body size. Understanding the genetic basis of growth differences between purebred and crossbred populations is essential for designing effective conservation and breeding strategies. To this end, we conducted comparative whole-genome resequencing on 22 purebred (WL) and 50 crossbred (JN: Nubian × Leizhou) goats. Population structure was assessed via principal component analysis, and genomic regions exhibiting elevated genetic differentiation were identified using the population differentiation index (). Functional enrichment analyses were subsequently applied to genes within these regions. Our results revealed clear genetic differentiation between the two populations. Among the highly differentiated genomic regions, we identified several genes, such as , , , and , whose known functions in neural signaling and muscle development make them plausible candidates for contributing to the growth differences between populations. A particularly notable discovery was a non-coding intronic mutation in the RNGTT gene (rs646826802), which is fixed in the paternal Nubian line and prevalent across 25 other global goat breeds but is completely absent in the purebred Leizhou black goat. This study identifies key genetic components associated with trait variation in crossbred goats and reports a breed-specific genomic marker that can serve as a practical tool for verifying breed purity, thereby supporting the conservation of this valuable indigenous genetic resource. - Source: PubMed
Publication date: 2026/06/29
Han XiaotaoHuang JingQian WenxiZhang YuelangWang KeHan Jiancheng - Chronic obstructive pulmonary disease (COPD) is characterized by progressive airflow limitation, chronic airway inflammation, and epithelial remodeling. Although oxidative stress and lipid peroxidation are increasingly recognized as important contributors to COPD pathobiology, the epithelial biomarkers and regulatory pathways linking cigarette-smoke exposure to ferroptosis-related injury remain incompletely defined. - Source: PubMed
Publication date: 2026/07/11
Liu LingfengJiang MingjunLei MuziDu KunYe XiangyangWei DafeiTan XiaowuMi ZhuangTang YaoSun RuitingLiu Sha - Male obesity-associated secondary hypogonadism(MOSH) is a common disease among severely obese male patients. Although surgical interventions have demonstrated clinical benefits, a subset of patients continue to experience MOSH following surgery. Therefore, this study aims to investigate epigenetic changes associated with the use of the weight-loss drug Semaglutide in MOSH, focusing on DNA methylation and miRNA expression. In this exploratory study, samples were classified into three groups: a control group (n = 2), a MOSH group (n = 7), and a follow-up group (n = 4). DNA methylation analysis was performed on all samples, while miRNA sequencing was conducted on a subset of the samples: 2 from the control group, 7 from the MOSH group, and 2 from the follow-up group. Differentially expressed miRNAs (DEMs) were analyzed through the R package "limma", and the methylation level of CpG sites was analyzed based on the methylation β value, obtaining differentially methylated genes (DMGs). The functional enrichment analysis of miRNA target genes and methylation change genes was conducted using the R package "clusterProfiler". Finally, the regulatory networks of miRNA and methylation genes as well as the protein-protein interaction (PPI) network were analyzed. A total of 6 DEMs were screened out. The target genes of these DEMs were mainly enriched in pathways such as ATP binding, phosphorylation, cell adhesion, and Glycosphingolipid biosynthesis. Eighty DMGs were identified, and the largest number of DMGs were found in the X chromosome. In the regulatory network of DMGs and DEMs, hsa-miR-423-5p regulates most of these DMGs. Moreover, the PPI network shows that DPP6, DPP10, CACNA1C, and CNTNAP2 are the proteins with the strongest connectivity. Notably, differential CpG methylation changes were observed on chromosome 7, indicating a potential region of epigenetic alteration in MOSH; however, the biological and functional relevance of these changes remains unclear. Collectively, these findings suggest that Semaglutide treatment in MOSH may be associated with concurrent alterations in DNA methylation and miRNA expression, implicating genes related to energy and glycolipid metabolism, including DPP6, DPP10, CACNA1C, and CNTNAP2. These results are exploratory and hypothesis-generating, providing preliminary observations to inform future validation studies. - Source: PubMed
Publication date: 2026/06/23
Guo YunchongSu JunleiShen LijunDing ChenzhaoWen YaqingLi ZetingLi Fangping - Anti-dipeptidyl-peptidase-like protein 6 encephalitis (DPPXE) is an exceptionally rare form of autoimmune encephalitis characterized by a highly heterogeneous clinical phenotype. - Source: PubMed
Shi DifangWu HaohaoHuang BaogangZheng YanLiu JiaBao JianjianXu FengmingDu Kang - : Gastric cancer remains a leading cause of cancer-related mortality worldwide and develops through complex interactions between environmental factors, microbial dysbiosis, and host molecular pathways. Although infection is a well-established risk factor, emerging evidence suggests that broader alterations in the gastric microbiome may also contribute to carcinogenesis. However, the associations between gastric cancer-associated microbial taxa and host gene expression profiles remain insufficiently characterized. This study aimed to identify host gene signatures associated with gastric cancer-related microbial taxa through a descriptive analysis integrating microbiome-derived taxa with transcriptome data. : Microbial taxa associated with gastric cancer were systematically retrieved from the Disbiome database. Taxon set enrichment analysis (TSEA) was performed using the MicrobiomeAnalyst platform to identify host genes associated with gastric cancer-associated taxa. Importantly, TSEA relies on healthy reference data from the Human Microbiome Project and does not establish gastric cancer-specific interactions or causal relationships. Gene expression levels were subsequently evaluated using The Cancer Genome Atlas (TCGA) PanCancer stomach adenocarcinoma (STAD) dataset by comparing tumor and matched normal gastric tissues. Gene interaction network and transcription factor (TF) enrichment analyses were conducted to explore predicted regulatory relationships. : Among 64 microbial taxa associated with gastric cancer, 43 were reported as elevated. After removing overlapping taxa across studies, 37 elevated and 21 reduced taxa were retained for analysis. TSEA identified 11 host genes associated with gastric cancer-related microbial taxa. Transcriptomic analysis demonstrated significant downregulation of DPP6 and DLG2, while KDM4D, USP34, and VDR were significantly upregulated in gastric cancer tissues compared with normal controls. Network and TF enrichment analyses revealed predicted co-expression and co-localization patterns among these genes, suggesting their potential involvement in immune-related processes, epigenetic regulation, and cellular organization. : This descriptive study identifies distinct host gene expression signatures associated with gastric cancer-associated microbial dysbiosis. This study is purely associative and hypothesis-generating; no causal or mechanistic inferences are made. TSEA used healthy reference data and therefore does not reflect gastric cancer-specific host-microbe interactions. The findings provide a basis for future hypothesis-driven research but require validation in independent cohorts. - Source: PubMed
Publication date: 2026/04/22
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