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inDrops-2: a flexible, versatile and cost-efficient droplet microfluidic approach for high-throughput scRNA-seq of fresh and preserved clinical samples.
Nucleic Acids Res
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Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania.
The expansion of single-cell analytical techniques has empowered the exploration of diverse biological questions at the individual cells. Droplet-based single-cell RNA sequencing (scRNA-seq) methods have been particularly widely used due to their high-throughput capabilities and small reaction volumes. While commercial systems have contributed to the widespread adoption of droplet-based scRNA-seq, their relatively high cost limits the ability to profile large numbers of cells and samples.
View Article and Find Full Text PDFStandardization to Characterize the Complexity of Vessel Network Using the Aortic Ring Model.
Int J Mol Sci
December 2024
Division of Surgical Research, University Hospital of Zurich, 8091 Zurich, Switzerland.
Regeneration after ischemia requires to be promoted by (re)perfusion of the affected tissue, and, to date, there is no therapy that covers all needs. In treatment with mesenchymal stem cells (MSC), the secretome acts via paracrine mechanisms and has a positive influence on vascular regeneration via proangiogenic factors. A lack of standardization and the high complexity of vascular structures make it difficult to compare angiogenic readouts from different studies.
View Article and Find Full Text PDFSurface Molecular Markers for the Isolation of Viable Fibroblast Subpopulations in the Female Reproductive Tract: A Comprehensive Review.
Int J Mol Sci
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Laboratory of Molecular Oncology and Innovative Therapies, Military Institute of Medicine National Research Institute, 128 Szaserów Street, 04-141 Warsaw, Poland.
Advancements in single-cell analyzis technologies, particularly single-cell RNA sequencing (scRNA-seq) and Fluorescence-Activated Cell Sorting (FACS), have enabled the analyzis of cellular diversity by providing resolutions that were not available previously. These methods enable the simultaneous analyzis of thousands of individual transcriptomes, facilitating the classification of cells into distinct subpopulations, based on transcriptomic differences, adding a new level of complexity to biomolecular and medical research. Fibroblasts, despite being one of the most abundant cell types in the human body and forming the structural backbone of tissues and organs, remained poorly characterized for a long time.
View Article and Find Full Text PDFMPCD Index for Hepatocellular Carcinoma Patients Based on Mitochondrial Function and Cell Death Patterns.
Int J Mol Sci
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Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer with a poor prognosis. During the development of cancer cells, mitochondria influence various cell death patterns by regulating metabolic pathways such as oxidative phosphorylation. However, the relationship between mitochondrial function and cell death patterns in HCC remains unclear.
View Article and Find Full Text PDFCell state-dependent allelic effects and contextual Mendelian randomization analysis for human brain phenotypes.
Nat Genet
January 2025
Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK.
Gene expression quantitative trait loci are widely used to infer relationships between genes and central nervous system (CNS) phenotypes; however, the effect of brain disease on these inferences is unclear. Using 2,348,438 single-nuclei profiles from 391 disease-case and control brains, we report 13,939 genes whose expression correlated with genetic variation, of which 16.7-40.
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