Evidence map›Paper›PMID 25418290›Full record

ArticleBiophysical journal2014

Raman and autofluorescence spectrum dynamics along the HRG-induced differentiation pathway of MCF-7 cells.

Shin-ichi Morita, Sota Takanezawa, Michio Hiroshima, Toshiyuki Mitsui, Yukihiro Ozaki, Yasushi Sako

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Automatic Background Removal and Correction of Systematic Error Caused by Noise Expecting Bio-Raman Big Data Analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2020
    Article
  5. Article
  6. Article
  7. 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

6 authors at 3 institutions in 1 country.

Shin-ichi MoritaCellular Informatics Laboratory, RIKEN, Wako, Japan.
Sota TakanezawaCellular Informatics Laboratory, RIKEN, Wako, Japan; Department of Chemistry, School of Science and Technology, Kwansei Gakuin University, Sanda, Japan.
Michio HiroshimaCellular Informatics Laboratory, RIKEN, Wako, Japan.
Toshiyuki MitsuiDepartment of Physics and Mathematics, College of Science and Engineering, Aoyama-Gakuin University, Sagamihara, Japan.
Yukihiro OzakiDepartment of Chemistry, School of Science and Technology, Kwansei Gakuin University, Sanda, Japan.
Yasushi SakoCellular Informatics Laboratory, RIKEN, Wako, Japan. Electronic address: sako@riken.jp.
RIKEN Advanced Science Institute · JPAoyama Gakuin University · JPKwansei Gakuin University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular differentiation proceeds along complicated pathways, even when it is induced by extracellular signaling molecules. One of the major reasons for this complexity is the highly multidimensional internal dynamics of cells, which sometimes causes apparently stochastic responses in individual cells to extracellular stimuli. Therefore, to understand cell differentiation, it is necessary to monitor the internal dynamics of cells at single-cell resolution. Here, we used a Raman and autofluorescence spectrum analysis of single cells to detect dynamic changes in intracellular molecular components. MCF-7 cells are a human cancer-derived cell line that can be induced to differentiate into mammary-gland-like cells with the addition of heregulin (HRG) to the culture medium. We measured the spectra in the cytoplasm of MCF-7 cells during 12 days of HRG stimulation. The Raman scattering spectrum, which was the major component of the signal, changed with time. A multicomponent analysis of the Raman spectrum revealed that the dynamics of the major components of the intracellular molecules, including proteins and lipids, changed cyclically along the differentiation pathway. The background autofluorescence signals of Raman scattering also provided information about the differentiation process. Using the total information from the Raman and autofluorescence spectra, we were able to visualize the pathway of cell differentiation in the multicomponent phase space.

Indexed as

Spectrum Analysis, RamanCell DifferentiationHumansMCF-7 CellsNeuregulin-1Spectrometry, FluorescenceNeuregulin-1

Identifiers

PMID25418290
PMCPMC4241437
OpenAlexW2060235373

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.