Evidence map›Paper›PMID 38664993›Full record

ArticleInternational journal of stem cells2024

Energy Metabolism in Human Pluripotent Stem and Differentiated Cells Compared Using a Seahorse XF96 Extracellular Flux Analyzer.

Hyun Kyu Kim, Yena Song, Minji Kye, Byeongho Yu, Sang Beom Park, Ji Hyeon Kim, Sung-Hwan Moon, Hyungkyu Choi, Jong-Seok Moon, Jae Sang Oh and 1 more

Open access · diamondAbstract read
In one paragraph

Article in International journal of stem cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 3 institutions in 1 country.

Hyun Kyu KimSoonchunhyang Institute of Medi-bio Science (SIMS), Soon Chun Hyang University, Cheonan, Korea.ORCID https://orcid.org/0000-0001-5141-931X
Yena SongSoonchunhyang Institute of Medi-bio Science (SIMS), Soon Chun Hyang University, Cheonan, Korea.ORCID https://orcid.org/0000-0002-8451-4847
Minji KyeSoonchunhyang Institute of Medi-bio Science (SIMS), Soon Chun Hyang University, Cheonan, Korea.ORCID https://orcid.org/0009-0006-2307-7088
Byeongho YuSoonchunhyang Institute of Medi-bio Science (SIMS), Soon Chun Hyang University, Cheonan, Korea.ORCID https://orcid.org/0009-0004-3548-2414
Sang Beom ParkSoonchunhyang Institute of Medi-bio Science (SIMS), Soon Chun Hyang University, Cheonan, Korea.ORCID https://orcid.org/0009-0009-1612-866X
Ji Hyeon KimSoonchunhyang Institute of Medi-bio Science (SIMS), Soon Chun Hyang University, Cheonan, Korea.ORCID https://orcid.org/0009-0002-0118-6268
Sung-Hwan MoonDepartment of Animal Science and Technology College of Biotechnology, Chung-Ang University, Anseong, Korea.ORCID https://orcid.org/0000-0003-1858-0261
Hyungkyu ChoiDepartment of Animal Science and Technology College of Biotechnology, Chung-Ang University, Anseong, Korea.ORCID https://orcid.org/0009-0002-7329-9261
Jong-Seok MoonSoonchunhyang Institute of Medi-bio Science (SIMS), Soon Chun Hyang University, Cheonan, Korea.ORCID https://orcid.org/0000-0002-2537-7854
Jae Sang OhDepartment of Neurosurgery, Uijeonbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-4570-6763
Man Ryul LeeSoonchunhyang Institute of Medi-bio Science (SIMS), Soon Chun Hyang University, Cheonan, Korea.ORCID https://orcid.org/0000-0002-2351-9679
Soonchunhyang University · KRChung-Ang University · KRThe Catholic University of Korea Uijeongbu St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluating cell metabolism is crucial during pluripotent stem cell (PSC) differentiation and somatic cell reprogramming as it affects cell fate. As cultured stem cells are heterogeneous, a comparative analysis of relative metabolism using existing metabolic analysis methods is difficult, resulting in inaccuracies. In this study, we measured human PSC basal metabolic levels using a Seahorse analyzer. We used fibroblasts, human induced PSCs, and human embryonic stem cells to monitor changes in basal metabolic levels according to cell number and determine the number of cells suitable for analysis. We evaluated normalization methods using glucose and selected the most suitable for the metabolic analysis of heterogeneous PSCs during the reprogramming stage. The response of fibroblasts to glucose increased with starvation time, with oxygen consumption rate and extracellular acidification rate responding most effectively to glucose 4 hours after starvation and declining after 5 hours of starvation. Fibroblasts and PSCs achieved appropriate responses to glucose without damaging their metabolism 2∼4 and 2∼3 hours after starvation, respectively. We developed a novel method for comparing basal metabolic rates of fibroblasts and PSCs, focusing on quantitative analysis of glycolysis and oxidative phosphorylation using glucose without enzyme inhibitors. This protocol enables efficient comparison of energy metabolism among cell types, including undifferentiated PSCs, differentiated cells, and cells undergoing cellular reprogramming, and addresses critical issues, such as differences in basal metabolic levels and sensitivity to normalization, providing valuable insights into cellular energetics.

Indexed as

GlucoseGlycolysisMitochondriaOxidative phosphorylationPluripotent stem cells

Identifiers

PMID38664993
PMCPMC11170120
OpenAlexW4395677496

What OpenQuestion holds

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LicenceCC BY-NC
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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.