Evidence map›Paper›PMID 31360146›Full record

ArticleClinical proteomics2019

Screening differentially expressed proteins from co-cultured hematopoietic cells and bone marrow-derived stromal cells by quantitative proteomics (SILAC) method.

Rui Liu, Yi Wang, Bingxin Li, Hui Wang, Feng Guan, Zengqi Tan, Xiang Li

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 4 institutions in 1 country.

Rui Liu *1Joint International Research Laboratory of Glycobiology and Medicinal Chemistry, College of Life Science, Northwest University, 229 Taibai North Road, Xi'an, 710069 Shaanxi China.
Yi Wang *Department of Hematology, Provincial People's Hospital, Xi'an, Shaanxi China.
Bingxin Li1Joint International Research Laboratory of Glycobiology and Medicinal Chemistry, College of Life Science, Northwest University, 229 Taibai North Road, Xi'an, 710069 Shaanxi China.
Hui WangDepartment of Hematology, Provincial People's Hospital, Xi'an, Shaanxi China.
Feng Guan1Joint International Research Laboratory of Glycobiology and Medicinal Chemistry, College of Life Science, Northwest University, 229 Taibai North Road, Xi'an, 710069 Shaanxi China.
Zengqi Tan1Joint International Research Laboratory of Glycobiology and Medicinal Chemistry, College of Life Science, Northwest University, 229 Taibai North Road, Xi'an, 710069 Shaanxi China.
Xiang Li1Joint International Research Laboratory of Glycobiology and Medicinal Chemistry, College of Life Science, Northwest University, 229 Taibai North Road, Xi'an, 710069 Shaanxi China.
Northwest University · CNJiangnan University · CNShaanxi Provincial People's Hospital · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBone marrow stromal cells protect hematopoietic cells and provide drug resistance by delivering bunch of variable proteins. Thus, alterations of protein expression are typically associated with cell-cell signal transduction and regulation of cellular functions.

methodsCo-culture models of bone marrow stromal cells and hematopoietic cells are often used in studies of their crosstalk. Studies of altered protein expression initiated by stromal cell/hematopoietic cell interactions are an important new trend in microenvironmental research. There has been no report to date of global quantitative proteomics analysis of crosstalk between hematopoietic cells and stromal cells. In this study, we analyzed quantitative proteomes in a co-culture system of stromal HS5 cells and hematopoietic KG1a cells, and simultaneously tracked differentially expressed proteins in two types of cells before and after co-culture by stable isotope labeling by amino acids in cell culture (SILAC) method.

resultsWe have shown that in co-cultured KG1a, 40 proteins (including CKAP4, LMNA, and SERPINB2) were upregulated and 64 proteins (including CD44, CD99, and NCAM1) were downregulated relative to KG1a alone. We utilized IPA analysis to discover that the NOD-like receptor signaling pathway was upregulated, whereas platelet activation was downregulated in co-cultured KG1a cells. Furthermore, 95 proteins (including LCP1, ARHGAP4, and UNCX) were upregulated and 209 proteins (including CAPG, FLNC, and MAP4) were downregulated in co-cultured HS5 relative to HS5 alone. The tight junction pathway was downregulated and glycolysis/gluconeogenesis pathway was dysfunctional in co-cultured HS5. Most importantly, the significantly differentially expressed proteins can also be confirmed using different co-cultured cell lines.

conclusionAltogether, we recommend such quantitative proteomics approach for the studies of the hematopoietic-stroma cross-talk, differentially expressed proteins and related signaling pathways identification. The differentially expressed proteins identified from this current SILAC method will provide a useful basis for ongoing studies of crosstalk between stromal cells and hematopoietic cells in co-culture systems. All these result suggested our ongoing studies can focus on the mechanisms underlying CKAP4 increase and CD44 decrease in co-cultured hematopoietic cells, and the increase of LCP1 and decrease of CAPG in co-cultured stromal cell. The proteomic profiles from the KG1a/stromal cell co-culture system give new molecular insights into the roles of these cells in MDS pathophysiology and related bone disease.

Indexed as

Co-cultureHematopoietic cellsProteomicsSILAC methodStromal cells

Identifiers

PMID31360146
PMCPMC6637644
OpenAlexW2959156027

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.