Evidence map›Paper›PMID 24648984›Full record

ArticleBiomedical reports2013

Stable isotope dimethyl labeling combined with LTQ mass spectrometric detection, a quantitative proteomics technology used in liver cancer research.

Bo Tang, Yang Li, Liang Zhao, Shengguang Yuan, Zhenran Wang, Bo Li, Qian Chen

Open access · bronzeAbstract read
In one paragraph

Article in Biomedical reports, 2013. 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
0.5field-weighted citation impact, top 35% 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, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. MicroRNA-155-3p promotes hepatocellular carcinoma formation by suppressing FBXW7 expression.Journal of experimental & clinical cancer research : CR · 2016
    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

7 authors at 2 institutions in 1 country.

Bo TangDepartments of Hepatobiliary Surgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001;
Yang LiMedical Oncology, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001;
Liang ZhaoDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning 116023, P.R. China.
Shengguang YuanDepartments of Hepatobiliary Surgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001;
Zhenran WangDepartments of Hepatobiliary Surgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001;
Bo LiDepartments of Hepatobiliary Surgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001;
Qian ChenDepartments of Hepatobiliary Surgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001;
Guilin Medical University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer is a common malignant disease, with high incidence and mortality rates. The study on the proteomics of liver cancer has attracted particular attention. The quantitative study method of proteomics depends predominantly on two-dimensional (2D) gel electrophoresis. In the present study we reported a rapid and accurate proteomics quantitative study method of high repeatability that includes the use of stable isotope labeling for the extraction of proteins and peptides via enzymolysis to achieve new type 2D capillary liquid chromatography-mass spectrometry separation using the separation mode of cation-exchange chromatography in conjunction with reversed-phase chromatography. LTQ OrbiTrap mass spectrometry detection was also performed. A total of 188 differential proteins were analyzed, including 122 upregulating [deuterium/hydrogen ratio (D/H) >1.5)] and 66 downregulating proteins (D/H<0.67). These proteins may play an important role in the occurrence, drug resistance, metastasis and recurrence of cancer or other pathological processes. Such a proteomics technology may provide biological data as well as a new methodological basis for liver cancer research.

Indexed as

liver cancermass spectrumquantitative proteomicsstable isotope labeling

Identifiers

PMID24648984
PMCPMC3917736
OpenAlexW2157281477

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.