Ask about this productRelated genes to: BSDC1 Blocking Peptide
- Gene:
- BSDC1 NIH gene
- Name:
- BSD domain containing 1
- Previous symbol:
- -
- Synonyms:
- FLJ10276, RP4-811H24.7
- Chromosome:
- 1p35.1
- Locus Type:
- gene with protein product
- Date approved:
- 2005-07-20
- Date modifiied:
- 2014-11-19
Related products to: BSDC1 Blocking Peptide
Related articles to: BSDC1 Blocking Peptide
- Head and Neck Squamous Cell Carcinoma (HNSCC) is a malignant tumor with a high degree of malignancy, invasiveness, and metastasis rate. Radiotherapy, as an important adjuvant therapy for HNSCC, can reduce the postoperative recurrence rate and improve the survival rate. Identifying the genes related to HNSCC radiotherapy resistance (HNSCC-RR) is helpful in the search for potential therapeutic targets. However, identifying radiotherapy resistance-related genes from tens of thousands of genes is a challenging task. While interactions between genes are important for elucidating complex biological processes, the large number of genes makes the computation of gene interactions infeasible. - Source: PubMed
Meng QingzheLiu DunhuiHuang JunhongYang XinjieLi HuanYang ZihuiWang JunGao WanpengLi YahuiLiu RongYang LiyingWei Jianhua - Idiopathic pulmonary hypertension (IPAH) is a condition that affects various tissues and organs and the metabolic and inflammatory systems. The most prevalent metabolic condition is metabolic syndrome (MS), which involves insulin resistance, dyslipidemia, and obesity. There may be a connection between IPAH and MS, based on a plethora of studies, although the underlying pathogenesis remains unclear. Through various bioinformatics analyses and machine learning algorithms, we identified 11 immune- and metabolism-related potential diagnostic genes (EVI5L, RNASE2, PARP10, TMEM131, TNFRSF1B, BSDC1, ACOT2, SAC3D1, SLA2, P4HB, and PHF1) for the diagnosis of IPAH and MS, and we herein supply a nomogram for the diagnosis of IPAH in MS patients. Additionally, we discovered IPAH's aberrant immune cells and discuss them here. - Source: PubMed
Publication date: 2023/01/12
Lu WenzhangHuang JinboShen QinSun FeiLi Jun - Advancements in transcriptomic profiling have led to the emergence of new challenges regarding data integration and interpretability. Variability between measurement platforms makes it difficult to compare between cohorts, and large numbers of gene features have encouraged the use black box methods that are not easily translated into biologically and clinically meaningful findings. We propose that gene rankings and algorithms that rely on relative expression within gene pairs can address such obstacles. - Source: PubMed
Publication date: 2020/10/22
Moody LauraChen HongPan Yuan-Xiang - : This work proposes to predict target genes and pathways for uveal melanoma (UM) based on an ensemble method and pathway analyses. - Source: PubMed
Publication date: 2018/04/10
Wei ChaoWang LeiZhang Han - Demographic, environmental, and genetic risk factors for age-related macular degeneration (AMD) have been identified; however, a substantial portion of the variance in AMD disease risk and heritability remains unexplained. To identify AMD risk variants and generate hypotheses for future studies, we performed whole exome sequencing for 75 individuals whose phenotype was not well predicted by their genotype at known risk loci. We hypothesized that these phenotypically extreme individuals were more likely to carry rare risk or protective variants with large effect sizes. - Source: PubMed
Publication date: 2016/08/29
Sardell Rebecca JBailey Jessica N CookeCourtenay Monique DWhitehead PatriceLaux Reneé AAdams Larry DFortun Jorge ABrantley Milam AKovach Jaclyn LSchwartz Stephen GAgarwal AnitaScott William KHaines Jonathan LPericak-Vance Margaret A