Evidence map›Paper›PMID 31765128›Full record

ArticleAnalytical chemistry2019

Chemical Proteomic Profiling of Lysophosphatidic Acid-Binding Proteins.

Xuejiao Dong, Linfeng Gao, Jikui Song, Yinsheng Wang

Open access · bronzeAbstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Regulation of RNA-binding proteins by small biomolecules.Nature reviews. Molecular cell biology · 2026
    Review
  2. Article
  3. Review
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

4 authors at 1 institution in 1 country.

Xuejiao Dong
Jikui Song
University of California, Riverside · US

Funding

Mechanistic Insights into Mammalian DNA MethylationR35GM119721 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Jikui Song · 2016 to 2026
$5.3M
Quantitative Adductomics Approaches for Assessing the Occurrence and Repair of DNA AdductsR01CA210072 · NCI · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI WANG, YINSHENG · 2017 to 2021
$1.8M
NCI NIH HHS R01 CA210072NIGMS NIH HHS R35 GM119721
6 · The paper itself

Abstract

Lysophosphatidic acid (LPA) is an endogenous cell signaling molecule, and dysregulation of LPA signaling pathways is accompanied by several types of cancer. Herein, we developed a chemical proteomic method for the proteome-wide identification of LPA-binding proteins. The method involves the synthesis of a desthiobiotin-conjugated LPA acyl phosphate probe for the covalent labeling, enrichment, and subsequent LC-MS/MS identification of LPA-binding proteins at the proteome-wide level. By conducting labeling reactions at two different probe concentrations (10 and 100 μM) in conjunction with an SILAC (stable isotope labeling by amino acids in cell culture)-based workflow, we characterized the LPA-binding capabilities of these proteins at the entire proteome scale, which led to the identification of 86 candidate LPA-binding proteins in HEK293T cells. Moreover, we validated that two of these proteins, annexin A5 and phosphoglycerate kinase 1, can bind directly with LPA. Together, we developed a novel LPA probe for the identification and characterizations of LPA-binding proteins from the entire human proteome. The method should be adaptable for the identification of other lipid-binding proteins.

Indexed as

ProteomicsCell ExtractsHEK293 CellsHumansLysophospholipidsModels, MolecularMolecular StructureProtein BindingProtein ConformationCell Extractslysophosphatidic acidLysophospholipids

Identifiers

PMID31765128
PMCPMC6939609
OpenAlexW2991523903

What OpenQuestion holds

Textmetadata
LicenceTDM
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.