Evidence map›Paper›PMID 38654287›Full record

ArticleBMC musculoskeletal disorders2024

Single-cell RNA-seq analysis reveals the Wnt/Ca

Peigeng Wang, Zhencong Li, Dongping Ye

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 7 citations in OpenAlex.

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  5. Pathogenic mechanisms of adult degenerative scoliosis.Frontiers in cell and developmental biology · 2026
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  7. Article
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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

3 authors at 2 institutions in 1 country.

Peigeng Wang *Guangzhou Red Cross Hospital, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong Province, 510220, China.
Zhencong Li *Department of Spinal Degeneration and Deformity Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, 524001, China.
Dongping YeGuangzhou Red Cross Hospital, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong Province, 510220, China. yedongping927@126.com.
Guiyang Medical University · CNGuangdong Medical College · CN

Funding

Guangzhou Municipal Science and Technology Project 202102010111
6 · The paper itself

Abstract

backgroundIncreasing studies have shown degeneration of nucleus pulposus cells (NPCs) as an critical part of the progression of intervertebral disc degeneration (IVDD). However, there are relatively few studies on single-cell transcriptome contrasts in human degenerated NPCs. Moreover, differences in Wnt/Ca

methodsWe performed bioinformatics analysis using our previously published findings to construct single cell expression profiles of normal and degenerated nucleus pulposus. Then, in-depth differential analysis was used to characterize the expression of Wnt/Ca

resultsThe obtained cell data were clustered into five different chondrocytes clusters, which chondrocyte 4 and chondrocyte 5 mainly accounted for a high proportion in degenerated nucleus pulposus tissues, but rarely in normal nucleus pulposus tissues. Genes associated within the Wnt/Ca

conclusionsSingle-cell RNA sequencing revealed differential expression of Wnt/Ca

Indexed as

ApoptosisIntervertebral Disc DegenerationNucleus PulposusSingle-Cell AnalysisWnt Signaling PathwayAdultCalcium SignalingChondrocytesFemaleHumansInflammationMaleMiddle AgedRNA-SeqSingle-Cell Gene Expression AnalysisTranscriptomeWnt ProteinsApoptosisDisc degenerationInflammationNucleus pulposusSingle cell sequencingWnt/Ca2+ signaling pathway

Identifiers

PMID38654287
PMCPMC11036596
OpenAlexW4395039830

What OpenQuestion 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 OpenQuestion graph.