Evidence map›Paper›PMID 33134693›Full record

ArticleACS omega2020

Isolation and Metabolic Assessment of Cancer Cell Mitochondria.

Nguyen Phuoc Long, Jung Eun Min, Nguyen Hoang Anh, Sun Jo Kim, Seongoh Park, Hyung Min Kim, Sang Jun Yoon, Johan Lim, Seul Ji Lee, Sung Won Kwon

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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 at 2 institutions in 1 country.

Nguyen Phuoc LongCollege of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Jung Eun MinCollege of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Nguyen Hoang AnhCollege of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Sun Jo KimCollege of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Seongoh ParkDepartment of Statistics, Sungshin Women's University, Seoul 02844, Republic of Korea.
Hyung Min KimCollege of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Sang Jun YoonCollege of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Johan LimDepartment of Statistics, Seoul National University, Seoul 08826, Republic of Korea.
Seul Ji LeeCollege of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Sung Won KwonCollege of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Seoul National University · KRSungshin Women's University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial metabolism plays an essential role in various biological processes of cancer cells. Herein, we established an experimental procedure for the metabolic assessment of mitochondria in cancer cells. We examined procedures for mitochondrial isolation coupled with various mitochondrial extraction buffers in three major cancer cell lines (PANC1, A549, and MDA-MB-231) and identified a potentially optimal and generalized approach. The purity of the mitochondrial fraction isolated by the selected protocol was verified using specific protein markers of cellular components, and the ultrastructure of the isolated mitochondria was also analyzed by transmission electron microscopy. The isolation procedure, involving a bead beater for cell lysis, a modified sucrose buffer, and differential centrifugation, appeared to be a suitable method for the extraction of mitochondria from cancer cells. Electron micrographs indicated an intact two-layer membrane and inner structures of mitochondria isolated by this procedure. Metabolomic and lipidomic analyses were conducted to examine the metabolic phenotypes of the mitochondria-enriched fractions and associated bulk cancer cells. A total of 44 metabolites, including malate and succinate, occurred at significantly higher levels in the mitochondrial fractions, whereas 51 metabolites, including citrate, oxaloacetate, and fumarate of the Krebs cycle and the oncometabolites glutamine and glutamate, were reduced in mitochondria compared to that in the corresponding bulk cells of PANC1. Similar patterns were observed in mitochondria and bulk cells of MDA-MB-231 and A549 cell lines. A clear difference between the lipid profiles of bulk PANC1, MDA-MB-231, and A549 and corresponding mitochondrial fractions of these cell lines was detected by principal component analysis. In conclusion, we developed an experimental procedure for a large-scale metabolic assessment for suborganelle metabolic profiling and multiple omics data integration in cancer cells with broad applications.

Identifiers

PMID33134693
PMCPMC7594158
OpenAlexW3092640328

What Socratic 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 Socratic graph.