Evidence map›Paper›PMID 26079396›Full record

ArticleScientific reports2015

Visualizing the appearance and disappearance of the attractor of differentiation using Raman spectral imaging.

Taro Ichimura, Liang-da Chiu, Katsumasa Fujita, Hiroaki Machiyama, Satoshi Kawata, Tomonobu M Watanabe, Hideaki Fujita

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Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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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

7 authors.

Taro IchimuraLaboratory for Comprehensive Bioimaging, Riken QBiC, 6-2-3 Furuedai, Suita, Osaka, Japan.
Liang-da ChiuDepartment of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka, Japan.
Katsumasa FujitaDepartment of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka, Japan.
Hiroaki MachiyamaWPI, Immunology Frontier Research Center, Osaka University, 1-3 Yamadaoka, Suita, Osaka, Japan.
Satoshi Kawata1] Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka, Japan [2] Nanophotonics Laboratory, RIKEN, Wako, Saitama, Japan, 2-1 Hirosawa, Wako, Saitama, Japan.
Tomonobu M WatanabeLaboratory for Comprehensive Bioimaging, Riken QBiC, 6-2-3 Furuedai, Suita, Osaka, Japan.
Hideaki Fujita1] Laboratory for Comprehensive Bioimaging, Riken QBiC, 6-2-3 Furuedai, Suita, Osaka, Japan [2] WPI, Immunology Frontier Research Center, Osaka University, 1-3 Yamadaoka, Suita, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using Raman spectral imaging, we visualized the cell state transition during differentiation and constructed hypothetical potential landscapes for attractors of cellular states on a state space composed of parameters related to the shape of the Raman spectra. As models of differentiation, we used the myogenic C2C12 cell line and mouse embryonic stem cells. Raman spectral imaging can validate the amounts and locations of multiple cellular components that describe the cell state such as proteins, nucleic acids, and lipids; thus, it can report the state of a single cell. Herein, we visualized the cell state transition during differentiation using Raman spectral imaging of cell nuclei in combination with principal component analysis. During differentiation, cell populations with a seemingly homogeneous cell state before differentiation showed heterogeneity at the early stage of differentiation. At later differentiation stages, the cells returned to a homogeneous cell state that was different from the undifferentiated state. Thus, Raman spectral imaging enables us to illustrate the disappearance and reappearance of an attractor in a differentiation landscape, where cells stochastically fluctuate between states at the early stage of differentiation.

Indexed as

Cell DifferentiationSpectrum Analysis, RamanAnimalsCell LineEmbryonic Stem CellsMiceMuscle DevelopmentMyoblasts

Identifiers

PMID26079396
PMCPMC5155549

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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.