Evidence map›Paper›PMID 39175855›Full record

ArticleBiophysics and physicobiology2024

Yuragi biomarker concept for evaluating human induced pluripotent stem cells using heterogeneity-based Raman finger-printing.

Hideaki Fujita, Takayuki Haruki, Kazuhiro Sudo, Yumiko Koga, Yukio Nakamura, Kuniya Abe, Yasuhiko Yoshida, Keiichi Koizumi, Tomonobu M Watanabe

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biophysics and physicobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Hideaki FujitaDepartment of Stem Cell Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima 734-8553, Japan.
Takayuki HarukiFaculty of Sustainable Design, Academic Assembly, University of Toyama, Toyama 930-8555, Japan.
Kazuhiro SudoTechnology and Development Team for Mammalian Genome Dynamics, RIKEN BioResource Research Center, Tsukuba, Ibaragi 305-0074, Japan.
Yumiko KogaTechnology and Development Team for Mammalian Genome Dynamics, RIKEN BioResource Research Center, Tsukuba, Ibaragi 305-0074, Japan.
Yukio NakamuraTechnology and Development Team for Mammalian Genome Dynamics, RIKEN BioResource Research Center, Tsukuba, Ibaragi 305-0074, Japan.
Kuniya AbeTechnology and Development Team for Mammalian Genome Dynamics, RIKEN BioResource Research Center, Tsukuba, Ibaragi 305-0074, Japan.
Yasuhiko YoshidaDepartment of Intellectual Information Engineering, Graduate School of Science and Engineering, University of Toyama, Toyama 930-8555, Japan.
Keiichi KoizumiLaboratory of Drug Discovery and Development for Pre-disease, Division of Presymptomatic Disease, Department of Re-search and Development and Department of Academia-Industry-Government Collaboration, Institute of Natural Medicine, University of Toyama, Toyama 930-0194, Japan.
Tomonobu M WatanabeDepartment of Stem Cell Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima 734-8553, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the fundamental mechanism causing singularity phenomena, we performed the following abduction: Assuming that a multicellular system is driven by spontaneous fluctuation of each cell and dynamic interaction of the cells, state transition of the system would be experimentally predictable from cellular heterogeneity. This study evaluates the abductive hypothesis by analyzing cellular heterogeneity to distinguish pre-state of state transition of differentiating cells with Raman spectroscopy and human induced pluripotent stem cells (hiPSCs) technique. Herein, we investigated the time development of cellular heterogeneity in Raman spectra during cardiomyogenesis of six hiPSC lines and tested two types of analyses for heterogeneity. As expected, some spectral peaks, possibly attributed to glycogen, correctively exhibited higher heterogeneity, prior to intensity changes of the spectrum in the both analyses in the all cell-lines tested. The combination of spectral data and heterogeneity-based analysis will be an approach to the arrival of biology that uses not only signal intensity but also heterogeneity as a biological index.

Indexed as

differentiationDNBiPSnew biomarkerspectroscopy

Identifiers

PMID39175855
PMCPMC11338688

What OpenQuestion holds

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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.