Evidence map›Paper›PMID 36710884›Full record

ArticleFrontiers in molecular biosciences2022

Metabolomics of small extracellular vesicles derived from isocitrate dehydrogenase 1-mutant HCT116 cells collected by semi-automated size exclusion chromatography.

Ryosuke Hayasaka, Sho Tabata, Masako Hasebe, Satsuki Ikeda, Tomoya Hikita, Chitose Oneyama, Jun Yoshitake, Daisuke Onoshima, Kumiko Takahashi, Takahiro Shibata and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Applications of chromatographic methods in metabolomics: A review.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2024
    Review
  6. Review
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

15 authors at 7 institutions in 2 countries.

Ryosuke HayasakaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Sho TabataInstitute for Protein Research, Osaka University, Suita, Japan.
Masako HasebeInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Satsuki IkedaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Tomoya HikitaDivision of Cancer Cell Regulation, Aichi Cancer Center Research Institute, Nagoya, Japan.
Chitose OneyamaDivision of Cancer Cell Regulation, Aichi Cancer Center Research Institute, Nagoya, Japan.
Jun YoshitakeInstitute of Nano-Life-Systems, Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan.
Daisuke OnoshimaInstitute of Nano-Life-Systems, Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan.
Kumiko TakahashiMaterials Integration Laboratories, AGC Inc., Yokohama, Japan.
Takahiro ShibataInstitute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan.
Koji UchidaGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Yoshinobu BabaInstitute of Nano-Life-Systems, Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan.
Tomoyoshi SogaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Masaru TomitaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Akiyoshi HirayamaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Keio University · JPNagoya University · JPAichi Cancer Center · JPKeio University Shonan Fujisawa · JPNational Institutes for Quantum and Radiological Science and Technology · JPOsaka University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer-derived small extracellular vesicles (sEVs) are multifunctional particles with a lipid bilayer structure that are involved in cancer progression, such as malignant proliferation, distant metastasis, and cancer immunity evasion. The separation protocol used to isolate sEVs is an important process and thus, several have been developed, including ultracentrifugation (UC), size exclusion chromatography (SEC), and affinity purification using antibodies against sEV surface antigens. However, the effects of different separation methods on sEV components have not been adequately examined. Here, we developed a semi-automated system for collecting sEVs by combining SEC and preparative high-performance liquid chromatography and applied it to metabolome analysis. The developed SEC system could recover sEVs more efficiently and non-destructively than UC, suggesting that it is an appropriate recovery method for metabolic analysis and reflects biological conditions. Furthermore, using the developed SEC system, we performed metabolome analysis of sEVs from isocitrate dehydrogenase 1 (IDH)-mutated human colon HCT116 cells, which produce the oncogenic metabolite, 2-hydroxyglutaric acid (2-HG). IDH1-mutated HCT116 cells released significantly more sEVs than wild-type (WT) cells. The metabolomic profiles of IDH1 mutant and WT cells showed distinct differences between the cells and their sEVs. Notably, in IDH mutant cells, large amounts of 2-HG were detected not only in cells, but also in sEVs. These results indicate that the SEC system we developed has wide potential applications in sEVs research.

Indexed as

2-hydroxyglutaric acidlipidome analysismetabolome analysisoncometabolitessize exclusion chromatographysmall extracellular vesiclesultracentrifugation

Identifiers

PMID36710884
PMCPMC9873957
OpenAlexW4315487454

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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.