Evidence map›Paper›PMID 30858327›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Multiplexed profiling of single-cell extracellular vesicles secretion.

Yahui Ji, Dongyuan Qi, Linmei Li, Haoran Su, Xiaojie Li, Yong Luo, Bo Sun, Fuyin Zhang, Bingcheng Lin, Tingjiao Liu and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 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

11 authors.

Yahui JiDepartment of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 116023 Dalian, China.
Dongyuan QiFirst Affiliated Hospital of Dalian Medical University, 116011 Dalian, China.
Linmei LiDepartment of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 116023 Dalian, China.
Haoran SuDepartment of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 116023 Dalian, China.
Xiaojie LiCollege of Stomatology, Dalian Medical University, 116044 Dalian, China.
Yong LuoState Key Laboratory of Fine Chemicals, Department of Chemical Engineering, Dalian University of Technology, 116024 Dalian, China.
Bo SunSecond Affiliated Hospital of Dalian Medical University, 116027 Dalian, China.
Fuyin ZhangSecond Affiliated Hospital of Dalian Medical University, 116027 Dalian, China.
Bingcheng LinDepartment of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 116023 Dalian, China.
Tingjiao LiuCollege of Stomatology, Dalian Medical University, 116044 Dalian, China; luyao@dicp.ac.cn tingjiao@dmu.edu.cn.
Yao LuDepartment of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 116023 Dalian, China; luyao@dicp.ac.cn tingjiao@dmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are important intercellular mediators regulating health and diseases. Conventional methods for EV surface marker profiling, which was based on population measurements, masked the cell-to-cell heterogeneity in the quantity and phenotypes of EV secretion. Herein, by using spatially patterned antibody barcodes, we realized multiplexed profiling of single-cell EV secretion from more than 1,000 single cells simultaneously. Applying this platform to profile human oral squamous cell carcinoma (OSCC) cell lines led to a deep understanding of previously undifferentiated single-cell heterogeneity underlying EV secretion. Notably, we observed that the decrement of certain EV phenotypes (e.g.,

Indexed as

Antigens, SurfaceCell CommunicationCell Line, TumorCellular MicroenvironmentExtracellular VesiclesHumansMicrochip Analytical ProceduresAntigens, Surfaceantibody barcodescellular heterogeneityextracellular vesiclesingle-cell analysis

Identifiers

PMID30858327
PMCPMC6442581

What OpenQuestion 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 OpenQuestion graph.