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| http://dx.doi.org/10.3389/fncel.2021.660732 | DOI Listing |
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The advent of single-cell RNA sequencing (scRNA-seq) has greatly enhanced our ability to explore cellular heterogeneity with high resolution. Identifying subpopulations of cells and their associated molecular markers is crucial in understanding their distinct roles in tissues. To address the challenges in marker gene selection, we introduce CORTADO, a computational framework based on hill-climbing optimization for the efficient discovery of cell-type-specific markers.
View Article and Find Full Text PDFThe effects of runs-of-homozygosity on pig domestication and breeding.
BMC Genomics
January 2025
Key Laboratory of Genetic Evolution & Animal Models and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
Background: Since their domestication, recent inbreeding together with intensive artificial selection and population bottlenecks have allowed the prevalence of deleterious mutations and the increase of runs-of-homozygosity (ROH) in domestic pigs. This makes pigs a good model to understand the genetic underpinnings of inbreeding depression.
Results: Here we integrated a comprehensive dataset comprising 7239 domesticated pigs and wild boars genotyped by single nucleotide polymorphism (SNP) chips, along with phenotypic data encompassing growth, reproduction and disease-associated traits.
Background: Gastric cancer (GC) has a poor prognosis, considerable cellular heterogeneity, and ranks fifth among malignant tumours. Understanding the tumour microenvironment (TME) and intra-tumor heterogeneity (ITH) may lead to the development of novel GC treatments.
Methods: The single-cell RNA sequencing (scRNA-seq) dataset was obtained from the Gene Expression Omnibus (GEO) database, where diverse immune cells were isolated and re-annotated based on cell markers established in the original study to ascertain their individual characteristics.
Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition.
Nat Genet
January 2025
Departments of Statistics and Human Genetics, University of Chicago, Chicago, IL, USA.
Profiling tumors with single-cell RNA sequencing has the potential to identify recurrent patterns of transcription variation related to cancer progression, and to produce therapeutically relevant insights. However, strong intertumor heterogeneity can obscure more subtle patterns that are shared across tumors. Here we introduce a statistical method, generalized binary covariance decomposition (GBCD), to address this problem.
View Article and Find Full Text PDFChromosome-scale assembly and annotation of the wild wheat relative Aegilops comosa.
Sci Data
December 2024
State Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agriculture Sciences in Weifang, Weifang, 261325, Shandong, China.
Wild relatives of wheat are valuable sources for enhancing the genetic diversity of common wheat. Aegilops comosa, an annual diploid species with an MM genome constitution, possesses numerous agronomically valuable traits that can be exploited for wheat improvement. In this study, we report a chromosome-level genome assembly of Ae.
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