Evidence map›Paper›PMID 23669031›Full record

ArticleMolecular & cellular proteomics : MCP2013

A fast workflow for identification and quantification of proteomes.

Chen Ding, Jing Jiang, Junying Wei, Wanlin Liu, Wei Zhang, Mingwei Liu, Tianyi Fu, Tianyuan Lu, Lei Song, Wantao Ying and 11 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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  9. Article
  10. Article
  11. Profiling of Protein Carbonylations in Ferroptosis by Chemical Proteomics.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. PrecisionMolecular & cellular proteomics : MCP · 2019
    Article
  18. Article
  19. Article
  20. 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

21 authors.

Chen DingState Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 102206, China.
Jing Jiang
Junying Wei
Wanlin Liu
Wei Zhang
Mingwei Liu
Tianyi Fu
Tianyuan Lu
Lei Song
Wantao Ying
Cheng Chang
Yangjun Zhang
Jie Ma
Lai Wei
Anna Malovannaya
Lijun Jia
Bei Zhen
Yi Wang
Fuchu He
Xiaohong Qian
Jun Qin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current in-depth proteomics makes use of long chromatography gradient to get access to more peptides for protein identification, resulting in covering of as many as 8000 mammalian gene products in 3 days of mass spectrometer running time. Here we report a fast sequencing (Fast-seq) workflow of the use of dual reverse phase high performance liquid chromatography - mass spectrometry (HPLC-MS) with a short gradient to achieve the same proteome coverage in 0.5 day. We adapted this workflow to a quantitative version (Fast quantification, Fast-quan) that was compatible to large-scale protein quantification. We subjected two identical samples to the Fast-quan workflow, which allowed us to systematically evaluate different parameters that impact the sensitivity and accuracy of the workflow. Using the statistics of significant test, we unraveled the existence of substantial falsely quantified differential proteins and estimated correlation of false quantification rate and parameters that are applied in label-free quantification. We optimized the setting of parameters that may substantially minimize the rate of falsely quantified differential proteins, and further applied them on a real biological process. With improved efficiency and throughput, we expect that the Fast-seq/Fast-quan workflow, allowing pair wise comparison of two proteomes in 1 day may make MS available to the masses and impact biomedical research in a positive way.

Indexed as

Chromatography, High Pressure LiquidCyclopentanesHeLa CellsHep G2 CellsHumansHuman Umbilical Vein Endothelial CellsProteomeProteomicsPyrimidinesTandem Mass SpectrometryCyclopentanespevonedistatProteomePyrimidines

Identifiers

PMID23669031
PMCPMC3734592

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.