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Comprehensive profiling of lactylation-associated genes in pulmonary hypertension through bulk and single-cell RNA sequencing integration. [PDF]

Respir Res
Han R, Wang Y, Lu X, Li W, Wu W, Wang W, Zeng D, Wang R.   +7 more
europepmc   +1 more source

Single-cell RNA-sequencing co-expression analysis with CFTR and CF modifier genes in lung tissue. [PDF]

Sci Rep
Wang C, Kanagarajah K, Wong A, Ratjen F, Strug LJ.   +4 more
europepmc   +1 more source

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Single-cell RNA sequencing in pancreatic cancer

Nature Reviews Gastroenterology & Hepatology, 2021
The application of single-cell RNA sequencing platforms has generated notable insights into the heterogeneity underlying pancreatic ductal adenocarcinoma (PDAC), encompassing both the neoplastic compartment and the tumour microenvironment. In this Comment, we discuss the most pertinent findings gleaned from both mouse models and human PDAC samples, as ...
Jincheng Han, Ronald A. DePinho, Anirban Maitra   +2 more
openaire   +2 more sources

Single Cell RNA Sequencing in NASH

2022
Single cell RNA sequencing (scRNA-seq) allows to uncover cellular heterogeneity and the identification of novel subpopulations. In non-alcoholic steatohepatitis (NASH), scRNA-seq is particularly powerful to understand non-parenchymal cell heterogeneity in the liver, e.g. for inflammatory cells.
Jana Hundertmark, Hilmar Berger, Frank Tacke   +2 more
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Introduction to Single‐Cell RNA Sequencing

Current Protocols in Molecular Biology, 2018
AbstractDuring the last decade, high‐throughput sequencing methods have revolutionized the entire field of biology. The opportunity to study entire transcriptomes in great detail using RNA sequencing (RNA‐seq) has fueled many important discoveries and is now a routine method in biomedical research. However, RNA‐seq is typically performed in “bulk,” and
Thale Kristin, Olsen, Ninib, Baryawno
openaire   +2 more sources

Single-Cell RNA Sequencing Technologies

2021
All cellular structures are heterogeneous. Thus, investigating true cell heterogeneity is highly required to further understand cellular connectivity and accountability within a disease or normal conditions. Because of its rapidly decreasing costs, the Next-Generation (NGS) sequence is widely used to analyze various biological data.
Manoj Kumar Gupta, Gayatri Gouda, Ravindra Donde, S. Sabarinathan, Piyali Goswami, Goutam Kumar Dash, N. Rajesh, Pallabi Pati, Sushil Kumar Rathode, Ramakrishna Vadde, Lambodar Behera   +10 more
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