Evidence map›Paper›PMID 38564138›Full record

ReviewMolecular neurobiology2024

Advancements in Single-Cell RNA Sequencing Research for Neurological Diseases.

Bingjie Yang, Shuqi Hu, Yiru Jiang, Lei Xu, Song Shu, Hao Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Integrating multi-omics data: Methods and applications in human complex diseases.Biotechnology reports (Amsterdam, Netherlands) · 2025
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Bingjie YangDepartment of Neurology, The Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Shuqi HuZhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yiru JiangDepartment of Neurology, The Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Lei XuDepartment of Neurology, Zhejiang Rongjun Hospital, Jiaxing, Zhejiang, China.
Song ShuDepartment of Neurology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, Zhejiang, China.
Hao ZhangDepartment of Neurology, The Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China. syzhanghao@zju.edu.cn.ORCID http://orcid.org/0000-0003-4816-5907
Zhejiang Chinese Medical University · CNWestlake University · CN

Funding

Hangzhou Medical and Health Technology Project 2017Z03Hangzhou Science and Technology Development Project 20150733Q11Zhejiang Provincial Medical and Health Technology Project for Young Backbone Talents 2019RC234
6 · The paper itself

Abstract

Neurological diseases are a major cause of the global burden of disease. Although the mechanisms of the occurrence and development of neurological diseases are not fully clear, most of them are associated with cells mediating neuroinflammation. Yet medications and other therapeutic options to improve treatment are still very limited. Single-cell RNA sequencing (scRNA-seq), as a delightfully potent breakthrough technology, not only identifies various cell types and response states but also uncovers cell-specific gene expression changes, gene regulatory networks, intercellular communication, and cellular movement trajectories, among others, in different cell types. In this review, we describe the technology of scRNA-seq in detail and discuss and summarize the application of scRNA-seq in exploring neurological diseases, elaborating the corresponding specific mechanisms of the diseases as well as providing a reliable basis for new therapeutic approaches. Finally, we affirm that scRNA-seq promotes the development of the neuroscience field and enables us to have a deeper cellular understanding of neurological diseases in the future, which provides strong support for the treatment of neurological diseases and the improvement of patients' prognosis.

Indexed as

Nervous System DiseasesSequence Analysis, RNASingle-Cell AnalysisAnimalsHumansCellsNeuroinflammationNeurological diseasesSingle-cell RNA sequencing

Identifiers

PMID38564138
OpenAlexW4393476239

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.