Evidence map›Paper›PMID 34660591›Full record

ArticleFrontiers in cell and developmental biology2021

Extracellular Vesicle Proteomes Shed Light on the Evolutionary, Interactive, and Functional Divergence of Their Biogenesis Mechanisms.

Hyobin Julianne Lim, Haejin Yoon, Hyeyeon Kim, Yun-Won Kang, Ji-Eun Kim, Oh Youn Kim, Eun-Young Lee, Jean-Claude Twizere, Janusz Rak, Dae-Kyum Kim

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 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

10 authors.

Hyobin Julianne LimCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
Haejin YoonDepartment of Cell Biology, Blavatnik Institute and Harvard Medical School, Boston, MA, United States.
Hyeyeon KimPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Yun-Won KangCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
Ji-Eun KimProgram in Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Oh Youn KimCollege of Medicine, Yonsei University, Seoul, South Korea.
Eun-Young LeeInfection and Immunity Research Laboratory, Metabolic Regulation Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, South Korea.
Jean-Claude TwizereLaboratory of Viral Interactomes, GIGA Institute, University of Liège, Liege, Belgium.
Janusz RakResearch Institute of the McGill University Health Centre, Glen Site, McGill University, Montreal, QC, Canada.
Dae-Kyum KimCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are membranous structures containing bioactive molecules, secreted by most cells into the extracellular environment. EVs are classified by their biogenesis mechanisms into two major subtypes: ectosomes (enriched in large EVs; lEVs), budding directly from the plasma membrane, which is common in both prokaryotes and eukaryotes, and exosomes (enriched in small EVs; sEVs) generated through the multivesicular bodies via the endomembrane system, which is unique to eukaryotes. Even though recent proteomic analyses have identified key proteins associated with EV subtypes, there has been no systematic analysis, thus far, to support the general validity and utility of current EV subtype separation methods, still largely dependent on physical properties, such as vesicular size and sedimentation. Here, we classified human EV proteomic datasets into two main categories based on distinct centrifugation protocols commonly used for isolating sEV or lEV fractions. We found characteristic, evolutionarily conserved profiles of sEV and lEV proteins linked to their respective biogenetic origins. This may suggest that the evolutionary trajectory of vesicular proteins may result in a membership bias toward specific EV subtypes. Protein-protein interaction (PPI) network analysis showed that vesicular proteins formed distinct clusters with proteins in the same EV fraction, providing evidence for the existence of EV subtype-specific protein recruiters. Moreover, we identified functional modules enriched in each fraction, including multivesicular body sorting for sEV, and mitochondria cellular respiration for lEV proteins. Our analysis successfully captured novel features of EVs embedded in heterogeneous proteomics studies and suggests specific protein markers and signatures to be used as quality controllers in the isolation procedure for subtype-enriched EV fractions.

Indexed as

biogenesisevolutionextracellular vesiclenetworkpurification

Identifiers

PMID34660591
PMCPMC8517337

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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.