Effects of parental autoimmune diseases on type 1 diabetes in offspring can be partially explained by HLA and non-HLA polymorphisms [0.03%]
父母自身免疫性疾病对后代1型糖尿病的影响部分可通过HLA和非HLA多态性来解释
Feiyi Wang,Aoxing Liu,Zhiyu Yang et al.
Feiyi Wang et al.
Type 1 diabetes (T1D) and other autoimmune diseases (AIDs) often co-occur in families. Leveraging data from 58,284 family trios in Finnish nationwide registers (FinRegistry), we identified that, of 50 parental AIDs examined, 15 were associa...
Morphogenesis, starvation, and light responses in a mushroom-forming fungus revealed by long-read sequencing and extensive expression profiling [0.03%]
长读序列表征和广泛的表达谱分析揭示了丛果木菌的形态生成、饥饿和光响应
Botond Hegedüs,Neha Sahu,Balázs Bálint et al.
Botond Hegedüs et al.
Mushroom-forming fungi (Agaricomycetes) are emerging as pivotal players in several fields of science and industry. Genomic data for Agaricomycetes are accumulating rapidly; however, this is not paralleled by improvements of gene annotations...
Proteomic-based stemness score measures oncogenic dedifferentiation and enables the identification of druggable targets [0.03%]
基于蛋白质组的干细胞评分可衡量致癌去分化并能够识别可药物作用靶点
Iga Kołodziejczak-Guglas,Renan L S Simões,Emerson de Souza Santos et al.
Iga Kołodziejczak-Guglas et al.
Cancer progression and therapeutic resistance are closely linked to a stemness phenotype. Here, we introduce a protein-expression-based stemness index (PROTsi) to evaluate oncogenic dedifferentiation in relation to histopathology, molecular...
Incorporating multiple functional annotations to improve polygenic risk prediction accuracy [0.03%]
结合多种功能注释以提高多基因风险预测的准确性
Zhonghe Shao,Wangxia Tang,Hongji Wu et al.
Zhonghe Shao et al.
We present OmniPRS, a scalable biobank-scale framework that improves genetic risk prediction for complex traits by integrating genome-wide association study (GWAS) summary statistics and functional annotations. It employs a mixed model inco...
Enhanced interpretation of immune cell phenotype and function through a rhesus macaque single-cell atlas [0.03%]
通过食蟹猴单细胞图谱增强免疫细胞表型和功能的解读
Eisa Mahyari,Gregory J Boggy,G W McElfresh et al.
Eisa Mahyari et al.
Single-cell RNA sequencing (scRNA-seq) allows cell classification using genome-wide transcriptional state; however, high-dimensional transcriptomic profiles, and the unsupervised analyses employed to interpret them, provide a systematically...
Empowering integrative and collaborative exploration of single-cell and spatial multimodal data with SGS genome browser [0.03%]
具有SGS基因组浏览器的单细胞和空间多模态数据的赋能集成和协作探索能力
Tingting Xia,Jiahe Sun,Yongjiang Luo et al.
Tingting Xia et al.
Recent advancements in single-cell and spatial omics technologies have generated a large amount of complex, high-dimensional data, which poses significant challenges to visualization tools. We introduce SGS (single-cell and spatial genomics...
Improved genetic discovery and fine-mapping resolution through multivariate latent factor analysis of high-dimensional traits [0.03%]
通过高维性状的多变量潜在因素分析改进遗传发现和精细定位分辨率
Feng Zhou,William J Astle,Adam S Butterworth et al.
Feng Zhou et al.
Genome-wide association studies (GWASs) of high-dimensional traits, such as blood cell or metabolic traits, often use univariate approaches, ignoring trait relationships. Biological mechanisms generating variation in high-dimensional traits...
Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies [0.03%]
组学研究伴生的元数据共享和格式化的感知和技术障碍
Yu-Ning Huang,Viorel Munteanu,Michael I Love et al.
Yu-Ning Huang et al.
Metadata, or "data about data," is essential for organizing, understanding, and managing large-scale omics datasets. It enhances data discovery, integration, and interpretation, enabling reproducibility, reusability, and secondary analysis....
Tychele N Turner
Tychele N Turner
Dr. Tychele Turner is an assistant professor of genetics at the Washington University in St. Louis. This issue of Cell Genomics presents research from her lab in "Proteome-wide assessment of differential missense variant clustering in neuro...
Deciphering genetic regulation at single-cell resolution in gastric cancer [0.03%]
基于单细胞分辨率胃癌的遗传调节分析
Chengxuan Chen,Leng Han
Chengxuan Chen
Understanding cell-type-specific genetic regulation in gastric cancer is essential for uncovering disease susceptibility. By performing single-cell eQTL mapping in gastric tissues, Bian et al.1 identified previously uncharacterized regulato...