Lessons about physiological relevance learned from large-scale meta-analysis of co-expression networks in brain organoids.

IF 9.8 1区生物学 Q1 Agricultural and Biological Sciences

PLoS Biology Pub Date : 2024-12-18 eCollection Date: 2024-12-01 DOI:10.1371/journal.pbio.3002965

Yoshiaki Tanaka

引用次数: 0

Abstract

Integrative analysis of publicly available scRNA-seq data facilitates deeper understanding of biological phenomena with strong statistical power and high resolution. A new study in this issue of PLOS Biology examined the fidelity of various brain organoid protocols in reference to human primary developing brain by gene co-expression relationships with million-scale collection of public scRNA-seq data sets.

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来源期刊

PLoS Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOLOGY

CiteScore

15.40

自引率

2.00%

发文量

359

审稿时长

3-8 weeks

期刊介绍： PLOS Biology is the flagship journal of the Public Library of Science (PLOS) and focuses on publishing groundbreaking and relevant research in all areas of biological science. The journal features works at various scales, ranging from molecules to ecosystems, and also encourages interdisciplinary studies. PLOS Biology publishes articles that demonstrate exceptional significance, originality, and relevance, with a high standard of scientific rigor in methodology, reporting, and conclusions. The journal aims to advance science and serve the research community by transforming research communication to align with the research process. It offers evolving article types and policies that empower authors to share the complete story behind their scientific findings with a diverse global audience of researchers, educators, policymakers, patient advocacy groups, and the general public. PLOS Biology, along with other PLOS journals, is widely indexed by major services such as Crossref, Dimensions, DOAJ, Google Scholar, PubMed, PubMed Central, Scopus, and Web of Science. Additionally, PLOS Biology is indexed by various other services including AGRICOLA, Biological Abstracts, BIOSYS Previews, CABI CAB Abstracts, CABI Global Health, CAPES, CAS, CNKI, Embase, Journal Guide, MEDLINE, and Zoological Record, ensuring that the research content is easily accessible and discoverable by a wide range of audiences.