A practical handbook on single-cell RNA sequencing data quality control and downstream analysis DOI Open Access
Gyeong Dae Kim, Chaemin Lim, Jihwan Park

и другие.

Molecules and Cells, Год журнала: 2024, Номер 47(9), С. 100103 - 100103

Опубликована: Июль 31, 2024

Advancements in single-cell analysis have facilitated high-resolution observation of the transcriptome individual cells. However, standards for obtaining high-quality cells and data pipelines remain variable. Here, we provide groundwork improving quality by delineating guidelines selecting considerations throughout analysis. This review will streamline researchers' access to serve as a valuable guide

Язык: Английский

Kidney development and regeneration: An introduction to this volume in Current Topics in Developmental Biology DOI
Jamie A. Davies

Current topics in developmental biology/Current Topics in Developmental Biology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Cell lineage tracing: Methods, applications, and challenges DOI Open Access
Shanjun Mao, Chenyang Zhang,

Runjiu Chen

и другие.

Quantitative Biology, Год журнала: 2025, Номер 13(4)

Опубликована: Май 8, 2025

Abstract Cell lineage tracing is a crucial technique for understanding cell fate and relationships, with wide applications in developmental biology, tissue regeneration, disease progression studies. Over the years, experimental methods have advanced from early labeling techniques to modern genetic tools such as CRISPR‐Cas9‐based barcoding, whereas computational emerged analyze high‐dimensional data single‐cell sequencing other omics technologies. This paper reviews both methods, highlighting their respective strengths, limitations, synergies. Experimental focus on tracking cells, approaches reconstruct relationships model cellular dynamics. Despite significant progress, challenges remain, including issues accuracy, resolution, multi‐omics integration, scalability. Future directions involve improvements development of enhanced by advancements artificial intelligence. These innovations are expected drive field forward, offering potential uncovering mysteries life.

Язык: Английский

Процитировано

0

A practical handbook on single-cell RNA sequencing data quality control and downstream analysis DOI Open Access
Gyeong Dae Kim, Chaemin Lim, Jihwan Park

и другие.

Molecules and Cells, Год журнала: 2024, Номер 47(9), С. 100103 - 100103

Опубликована: Июль 31, 2024

Advancements in single-cell analysis have facilitated high-resolution observation of the transcriptome individual cells. However, standards for obtaining high-quality cells and data pipelines remain variable. Here, we provide groundwork improving quality by delineating guidelines selecting considerations throughout analysis. This review will streamline researchers' access to serve as a valuable guide

Язык: Английский

Процитировано

2