Evidence map›Paper›PMID 37335434›Full record

ReviewMolecular biotechnology2024

Application of Lineage Tracing in Central Nervous System Development and Regeneration.

Hao Li, Yuan Zhuang, Bin Zhang, Xiaojian Xu, Baiyun Liu

Abstract readReview
In one paragraph

Review in Molecular biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Cell lineage tracing: Methods, applications, and challenges.Quantitative biology (Beijing, China) · 2025
    Review
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

5 authors.

Hao LiDepartment of Neurosurgery, Beijing Tian tan Hospital, Capital Medical University, Beijing, China.
Yuan ZhuangDepartment of Neurosurgery, Beijing Tian tan Hospital, Capital Medical University, Beijing, China.
Bin ZhangDepartment of Intensive Care Unit, Beijing Tian tan Hospital, Capital Medical University, Beijing, China.
Xiaojian XuBeijing Key Laboratory of Central Nervous System Injury, Department of Neurotrauma, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Baiyun LiuDepartment of Neurosurgery, Beijing Tian tan Hospital, Capital Medical University, Beijing, China. liubaiyun1212@163.com.ORCID http://orcid.org/0000-0001-8204-2623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The central nervous system (CNS) is a complicated neural network. The origin and evolution of functional neurons and glia cells remain unclear, as do the cellular alterations that occur during the course of cerebral disease rehabilitation. Lineage tracing is a valuable method for tracing specific cells and achieving a better understanding of the CNS. Recently, various technological breakthroughs have been made in lineage tracing, such as the application of various combinations of fluorescent reporters and advances in barcode technology. The development of lineage tracing has given us a deeper understanding of the normal physiology of the CNS, especially the pathological processes. In this review, we summarize these advances of lineage tracing and their applications in CNS. We focus on the use of lineage tracing techniques to elucidate the process CNS development and especially the mechanism of injury repair. Deep understanding of the central nervous system will help us to use existing technologies to diagnose and treat diseases.

Indexed as

Cell LineageCentral Nervous SystemAnimalsCell TrackingHumansNeurogliaNeuronsBiotechnologyBrain developmentCentral nervous system diseaseGene targetingLineage tracingNeurogenesisRegeneration

Identifiers

PMID37335434
PMCPMC11217125

What Socratic holds

Textmetadata
LicenceCC BY
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.