Evidence map›Paper›PMID 35883033›Full record

ArticleBMC molecular and cell biology2022

Systematic study of single-cell isolation from musculoskeletal tissues for single-sell sequencing.

Manman Gao, Peng Guo, Xizhe Liu, Penghui Zhang, Zhongyuan He, Liru Wen, Shaoyu Liu, Zhiyu Zhou, Weimin Zhu

Open access · goldAbstract read
In one paragraph

Article in BMC molecular and cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Manman Gao *Department of Sport Medicine, Inst Translat Med, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Peng Guo *Department of Orthopaedic Surgery, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Xizhe Liu *Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Penghui ZhangDepartment of Orthopaedic Surgery, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Zhongyuan HeDepartment of Orthopaedic Surgery, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Liru WenShenzhen Key Laboratory of Anti-Aging and Regenerative Medicine, Department of Medical Cell Biology and Genetics, Health Sciences Center, Shenzhen University, Shenzhen, China.
Shaoyu LiuDepartment of Orthopaedic Surgery, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Zhiyu ZhouDepartment of Orthopaedic Surgery, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China. zhouzhy23@mail.sysu.edu.cn.
Weimin ZhuDepartment of Sport Medicine, Inst Translat Med, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China. szhzwm@email.szu.edu.cn.
The Seventh Affiliated Hospital of Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNShenzhen Second People's Hospital · CNShenzhen University Health Science Center · CNSun Yat-sen University · CN

Funding

Beijing Municipal Health Commission BMHC-2018-4Beijing Municipal Health Commission BMHC-2019-9Beijing Municipal Health Commission PXM2020_026275_000002Foundation of Shenzhen Committee for Science and Technology Innovation GJHZ20180929160004704Foundation of Shenzhen Committee for Science and Technology Innovation JCYJ20190809142211354Fundamental Research Funds for the Central Universities 19ykzd05National Natural Science Foundation of China 31900583National Natural Science Foundation of China 81772400Natural Science Foundation of Guangzhou City 201704030082Natural Science Foundation of Guangzhou City 201807010031Sanming Project of Medicine in Shenzhen SZSM201911002
6 · The paper itself

Abstract

backgroundThe single-cell platform provided revolutionary way to study cellular biology. Technologically, a sophistic protocol of isolating qualified single cells would be key to deliver to single-cell platform, which requires high cell viability, high cell yield and low content of cell aggregates or doublets. For musculoskeletal tissues, like bone, cartilage, nucleus pulposus and tendons, as well as their pathological state, which are tense and dense, it's full of challenge to efficiently and rapidly prepare qualified single-cell suspension. Conventionally, enzymatic dissociation methods were wildly used but lack of quality control. In the present study, we designed the rapid cycling enzymatic processing method using tissue-specific enzyme cocktail to treat different human pathological musculoskeletal tissues, including degenerated nucleus pulposus (NP), ossifying posterior longitudinal ligament (OPLL) and knee articular cartilage (AC) with osteoarthritis aiming to rapidly and efficiently harvest qualified single-cell suspensions for single-cell RNA-sequencing (scRNA-seq).

resultsWe harvested highly qualified single-cell suspensions from NP and OPLL with sufficient cell numbers and high cell viability using the rapid cycling enzymatic processing method, which significantly increased the cell viability compared with the conventional long-time continuous digestion group (P < 0.05). Bioanalyzer trace showed expected cDNA size distribution of the scRNA-seq library and a clear separation of cellular barcodes from background partitions were verified by the barcode-rank plot after sequencing. T-SNE visualization revealed highly heterogeneous cell subsets in NP and OPLL. Unfortunately, we failed to obtain eligible samples from articular cartilage due to low cell viability and excessive cell aggregates and doublets.

conclusionsIn conclusion, using the rapid cycling enzymatic processing method, we provided thorough protocols for preparing single-cell suspensions from human musculoskeletal tissues, which was timesaving, efficient and protective to cell viability. The strategy would greatly guarantee the cell heterogeneity, which is critical for scRNA-seq data analysis. The protocol to treat human OA articular cartilage should be further improved.

Indexed as

Cartilage, ArticularCell SeparationCell SurvivalHumansSequence Analysis, RNASuspensionsSuspensionsEfficiencyHuman musculoskeletal tissuesQualitySingle-cell isolation protocol

Identifiers

PMID35883033
PMCPMC9327421
OpenAlexW4288037141

What OpenQuestion holds

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Registered trials

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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.