Analysing transcriptomes of cell populations is a standard molecular biology approach to understand how cells function. Recent methodological development has allowed performing similar experiments on single cells. This has opened up the possibility to examine samples with limited cell number, such as cells of the early embryo, and to obtain an understanding of heterogeneity within populations such as blood cell types or neurons. There are two major approaches for single-cell transcriptome analysis: quantitative reverse transcription PCR (RT-qPCR) on a limited number of genes of interest, or more global approaches targeting entire transcriptomes using RNA sequencing. RT-qPCR is sensitive, fast and arguably more straightforward, while whole-transcriptome approaches offer an unbiased perspective on a cell's expression status.
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http://dx.doi.org/10.1093/bfgp/elx025 | DOI Listing |
Comput Struct Biotechnol J
December 2024
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
The spatial organization of the genome plays a critical role in regulating gene expression, cellular differentiation, and genome stability. This review provides an in-depth examination of the methodologies, computational tools, and frameworks developed to map the three-dimensional (3D) architecture of the genome, focusing on both ligation-based and ligation-free techniques. We also explore the limitations of these methods, including biases introduced by restriction enzyme digestion and ligation inefficiencies, and compare them to more recent ligation-free approaches such as Genome Architecture Mapping (GAM) and Split-Pool Recognition of Interactions by Tag Extension (SPRITE).
View Article and Find Full Text PDFJ Mater Chem B
January 2025
Department of Chemistry, Indian Institute of Technology Gandhinagar, Palaj, Gandhinagar, India.
Multi-organelle imaging allows the visualization of multiple organelles within a single cell, allowing monitoring of the cellular processes in real-time using various fluorescent probes that target specific organelles. However, the limited availability of fluorophores and potential spectral overlap present challenges, and many optimized designs are still in nascency. In this work, we synthesized various sulfonamide-based organic fluorophores that emit in the blue, green, and red regions to target different sub-cellular organelles.
View Article and Find Full Text PDFCNS Neurosci Ther
January 2025
Department of Neurosurgery, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Background: Glioblastoma multiforme (GBM) is a common and highly aggressive brain tumor with a poor prognosis. However, the prognostic value of ferroptosis-related genes (FRGs) and their classification remains insufficiently studied.
Objective: This study aims to explore the significance of ferroptosis classification and its risk model in GBM using multi-omics approaches and to evaluate its potential in prognostic assessment.
IgA-coated fractions of the intestinal microbiota of Crohn's disease (CD) patients have been shown to contain taxa that hallmark the compositional dysbiosis in CD microbiomes. However, the correlation between other cellular properties of intestinal bacteria and disease has not been explored further, especially for features that are not directly driven by the host immune-system, e.g.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Emergency Medicine, Hengyang Medical School, The Affiliated Changsha Central Hospital, University of South China, Changsha, Hunan, China.
Our study aims to investigate the role of pyrimidine metabolism in prostate cancer and its associations with the immune microenvironment, drug sensitivity, and tumor mutation burden. Through transcriptomic and single-cell RNA sequencing analyses, we explored metabolic pathway enrichment, immune infiltration patterns, and differential gene expression in prostate cancer samples. The results showed that pyrimidine metabolism-related genes were significantly upregulated in the P2 subgroup compared to the P1 subgroup, with enhanced metabolic activity observed in basal and luminal epithelial cells.
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