Evidence map›Paper›PMID 28423718›Full record

ArticleOncotarget2017

iTRAQ-based quantitative proteomic analysis of Yamanaka factors reprogrammed breast cancer cells.

Kun Wang, Zhiyan Shan, Lian Duan, Tiantian Gong, Feng Liu, Yue Zhang, Zhendong Wang, Jingling Shen, Lei Lei

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Observational
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 at 2 institutions in 1 country.

Kun WangDepartment of Histology and Embryology, Harbin Medical University, Harbin, China.
Zhiyan ShanDepartment of Histology and Embryology, Harbin Medical University, Harbin, China.
Lian DuanDepartment of Histology and Embryology, Harbin Medical University, Harbin, China.
Tiantian GongDepartment of Histology and Embryology, Harbin Medical University, Harbin, China.
Feng LiuDepartment of Breast Surgery, Cancer Hospital of Harbin Medical University, Harbin, China.
Yue ZhangDepartment of Histology and Embryology, Harbin Medical University, Harbin, China.
Zhendong WangDepartment of Histology and Embryology, Harbin Medical University, Harbin, China.
Jingling ShenDepartment of Histology and Embryology, Harbin Medical University, Harbin, China.
Lei LeiDepartment of Histology and Embryology, Harbin Medical University, Harbin, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cells had been developed to be reprogrammed into embryonic stem like cells by induced pluripotent stem cells (iPSCs) technology, however, the tumor differentiation/dedifferentiation mechanisms had not yet been analyzed on a genome-wide scale. Here, we inserted the four stem cell transcription factor genes OCT4, SOX2, C-MYC and KLF4 into MCF cells (MCFs), represented a female breast cancer cell type, and obtained iPSCs (Mcfips) in about 3 weeks. By using the LC MS/MS iTRAQ technology, we analyzed the proteomic changes between MCFs and Mcfips. Of identified 4,616 proteins totally, 247 and 142 differentially expressed (DE) proteins were found in Mcfips compared with human induce pluripotent stem cells (Hips) and MCFs, respectively. 35 co-up and 10 co-down regulated proteins were recognized in DE proteins. Above DE proteins were categorized with GO functional classification annotation and KEGG metabolic pathway analysis into biological processes. In the protein interaction network, we found 37 and 39 hubs interacted with more than one protein in Mcfips comparing to Hips, in addition, 25 and 9 hubs were identified in Mcfips comparing to MCFs. Importantly, the mitochondria, ribosome and tumor suppressor proteins were found to be core regulators of tumor reprogramming, which might contribute to understand the mechanisms in relation to the occurrences and progression of a tumor. Thus, our study provided a valuable data for exploring the possibility to normalize the malignant phenotype.

Indexed as

Gene Regulatory NetworksBreast NeoplasmsCell DedifferentiationCellular ReprogrammingChromatography, LiquidFemaleGene Expression Regulation, NeoplasticHumansInduced Pluripotent Stem CellsKruppel-Like Factor 4Kruppel-Like Transcription FactorsMCF-7 CellsOctamer Transcription Factor-3Protein Interaction MapsProteomicsProto-Oncogene Proteins c-mycKLF4 protein, humanKruppel-Like Factor 4Kruppel-Like Transcription FactorsMYC protein, humanOctamer Transcription Factor-3POU5F1 protein, humanProto-Oncogene Proteins c-mycSOX2 protein, humanSOXB1 Transcription FactorsTranscription Factorsbreast canceriTRAQmitochondriaproteomereprogramming

Identifiers

PMID28423718
PMCPMC5470971
OpenAlexW2591587728

What OpenQuestion holds

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LicenceCC BY
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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.