Evidence map›Paper›PMID 37649709›Full record

ArticleAdvanced materials technologies2023

Non-contact microfluidic analysis of the stiffness of single large extracellular vesicles from IDH1-mutated glioblastoma cells.

Mi Ho Jeong, Hyungsoon Im, Joanna B Dahl

Open access · greenAbstract read
In one paragraph

Article in Advanced materials technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

3 authors at 2 institutions in 1 country.

Mi Ho JeongCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.
Hyungsoon ImCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.
Joanna B DahlEngineering Department, University of Massachusetts Boston, Boston, MA 02025, USA.
Massachusetts General Hospital · USBoston University · US

Funding

Development of plasmon-enhanced biosensing for multiplexed profiling of extracellular vesiclesR01GM138778 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2020 to 2024
$2.3M
Nano-plasmonic technology for high-throughput single exosome analysesR21CA217662 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2019 to 2021
$585k
NCI NIH HHS R21 CA217662NIGMS NIH HHS R01 GM138778
6 · The paper itself

Abstract

In preparation for leveraging extracellular vesicles (EVs) for disease diagnostics and therapeutics, fundamental research is being done to understand EV biological, chemical, and physical properties. Most published studies have investigated nanoscale EVs and focused on EV biochemical content. There is much less understanding of large microscale EV characteristics and EV mechanical properties. We recently introduced a non-contact microfluidic technique that measures the stiffness of large EVs (>1 μm diameter). This pilot study probes the robustness of the microfluidic technique to distinguish between EV populations by comparing stiffness distributions of large EVs derived from glioblastoma cell lines. EVs derived from cells expressing the IDH1 mutation, a common glioblastoma mutation known to disrupt lipid metabolism, were stiffer than those expressed from wild-type cells in a statistical comparison of sample medians. A supporting lipidomics analysis showed that the IDH1 mutation increased the amount of saturated lipids in EVs. Taken together, these data encourage further investigation into the potential of high-throughput microfluidics to distinguish between large EV populations that differ in biomolecular composition. These findings contribute to the understanding of EV biomechanics, in particular for the less studied microscale EVs.

Indexed as

glioblastomaIDH1 mutationlarge extracellular vesiclesmicrofluidicsstiffness

Identifiers

PMID37649709
PMCPMC10465107
OpenAlexW4319789845

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.