Understanding biological mechanisms is fundamental for improving animal production and health to meet the growing demand for high-quality protein. As an emerging biotechnology, single-cell transcriptomics has been gradually applied in diverse aspects of animal research, offering an effective method to study the gene expression of high-throughput single cells of different tissues/organs in animals. In an unprecedented manner, researchers have identified cell types/subtypes and their marker genes, inferred cellular fate trajectories, and revealed cell‒cell interactions in animals using single-cell transcriptomics. In this paper, we introduce the development of single-cell technology and review the processes, advancements, and applications of single-cell transcriptomics in animal research. We summarize recent efforts using single-cell transcriptomics to obtain a more profound understanding of animal nutrition and health, reproductive performance, genetics, and disease models in different livestock species. Moreover, the practical experience accumulated based on a large number of cases is highlighted to provide a reference for determining key factors (e.g., sample size, cell clustering, and cell type annotation) in single-cell transcriptomics analysis. We also discuss the limitations and outlook of single-cell transcriptomics in the current stage. This paper describes the comprehensive progress of single-cell transcriptomics in animal research, offering novel insights and sustainable advancements in agricultural productivity and animal health.
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http://dx.doi.org/10.1186/s40104-024-01063-y | DOI Listing |
ESMO Open
January 2025
Translational Genomics and Targeted Therapies in Solid Tumors group, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Institute of Cancer and Blood Diseases, Hospital Clinic of Barcelona, Barcelona, Spain; Reveal Genomics, Barcelona, Spain. Electronic address:
Background: The infiltration of tumor-infiltrating B cells and plasma cells in early-stage breast cancer has been associated with a reduced risk of distant metastasis. However, the influence of B-cell tumor infiltration on overall patient survival remains unclear.
Materials And Methods: This study explored the relationship between an antitumor immune response, measured by a 14-gene B-cell/immunoglobulin (IGG) signature, and mortality risk in 9638 breast cancer patients across three datasets.
Int Immunopharmacol
January 2025
Department of Urology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Pudong New Area, Shanghai 200127, China. Electronic address:
Hedyotis diffusa Willd. (HDW), a traditional Chinese medicinal plant, exhibits a variety of pharmacological effects and has anticancer potential for a wide range of cancer types; Ferroptosis is a non-apoptosis-regulated cell death induced by iron accumulation and subsequent lipid peroxidation; and there is currently an increasing interest in the therapeutic role of ferroptosis in cancer. However, the effects of HDW on bladder cancer and its underlying molecular mechanisms remain largely unknown.
View Article and Find Full Text PDFCNS Neurosci Ther
January 2025
Department of Neurology, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Objective: This study aims to investigate how the E3 ubiquitin ligase LITAF influences mitochondrial autophagy by modulating MCL-1 ubiquitination, and its role in the development of epilepsy.
Methods: Employing single-cell RNA sequencing (scRNA-seq) to analyze brain tissue from epilepsy patients, along with high-throughput transcriptomics, we identified changes in gene expression. This was complemented by in vivo and in vitro experiments, including protein-protein interaction (PPI) network analysis, western blotting, and behavioral assessments in mouse models.
Spatially variable genes (SVGs) reveal the molecular and functional heterogeneity of cells across different spatial regions of a tissue. We found that sample-wide SVGs, identified by previous methods across the whole sample, largely overlap with cell-type marker genes derived from single-cell gene expression, leaving the spatial location information largely underutilized. We developed ctSVG, a computational method specifically tailored for Visium HD spatial transcriptomics at single-cell resolution.
View Article and Find Full Text PDFCell clustering is an essential step in uncovering cellular architectures in single cell RNA-sequencing (scRNA-seq) data. However, the existing cell clustering approaches are not well designed to dissect complex structures of cellular landscapes at a finer resolution. Here, we develop a multi-scale clustering (MSC) approach to construct sparse cell-cell correlation network for identifying de novo cell types and subtypes at multiscale resolution in an unsupervised manner.
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