Evidence map›Paper›PMID 32577522›Full record

ArticleScience advances2020

High-throughput intracellular biopsy of microRNAs for dissecting the temporal dynamics of cellular heterogeneity.

Zixun Wang, Lin Qi, Yang Yang, Mingxing Lu, Kai Xie, Xi Zhao, Elvis Hung Chi Cheung, Yuan Wang, Xuezhen Jiang, Wenjun Zhang and 3 more

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

13 authors.

Zixun WangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.ORCID 0000-0003-0252-2737
Lin QiDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.ORCID 0000-0001-5026-1100
Yang YangFunctional Thin Films Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Mingxing LuDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.ORCID 0000-0003-4383-5107
Kai XieDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Xi ZhaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Elvis Hung Chi CheungDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Yuan WangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Xuezhen JiangDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Wenjun ZhangDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.ORCID 0000-0002-4497-0688
Linfeng HuangDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.ORCID 0000-0002-0322-4929
Xin WangDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.ORCID 0000-0002-5122-2418
Peng ShiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.ORCID 0000-0003-0629-4161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The capability to analyze small RNAs responsible for post-transcriptional regulation of genes expression is essential for characterizing cellular phenotypes. Here, we describe an intracellular biopsy technique (inCell-Biopsy) for fast, multiplexed, and highly sensitive profiling of microRNAs (miRNAs). The technique uses an array of diamond nanoneedles that are functionalized with size-dependent RNA binding proteins, working as "fishing rods" to directly pull miRNAs out of cytoplasm while keeping the cells alive, thus enabling quasi-single-cell miRNA analysis. Each nanoneedle works as a reaction chamber for parallel in situ amplification, visualization, and quantification of miRNAs as low as femtomolar, which is sufficient to detect miRNAs of a single-copy intracellular abundance with specificity to single-nucleotide variation. Using inCell-Biopsy, we analyze the temporal miRNA transcriptome over the differentiation of embryonic stem cells (ESCs). The combinatorial miRNA expression patterns derived by inCell-Biopsy identify emerging cell subpopulations differentiated from ESCs and reveal the dynamic evolution of cellular heterogeneity.

Indexed as

MicroRNAsBiopsyGene Expression ProfilingGene Expression RegulationTranscriptomeMicroRNAs

Identifiers

PMID32577522
PMCPMC7286670

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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.