Evidence map›Paper›PMID 35563215›Full record

ArticleInternational journal of molecular sciences2022

Implications of Heparanase on Heparin Synthesis and Metabolism in Mast Cells.

Marco Maccarana, Juan Jia, Honglian Li, Xiao Zhang, Israel Vlodavsky, Jin-Ping Li

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
0.6field-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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors at 3 institutions in 2 countries.

Marco MaccaranaDepartment of Medical Biochemistry and Microbiology, SciLifeLab, 752 37 Uppsala, Sweden.ORCID 0000-0003-3549-8921
Juan JiaDepartment of Medical Biochemistry and Microbiology, SciLifeLab, 752 37 Uppsala, Sweden.
Honglian LiDepartment of Medical Biochemistry and Microbiology, SciLifeLab, 752 37 Uppsala, Sweden.
Xiao ZhangThe Biomedical Center, Department of Medical Cell Biology, University of Uppsala, 752 37 Uppsala, Sweden.
Israel VlodavskyCancer and Vascular Biology Research Center, Technion, Haifa 31096, Israel.
Jin-Ping LiDepartment of Medical Biochemistry and Microbiology, SciLifeLab, 752 37 Uppsala, Sweden.
Science for Life Laboratory · SETechnion – Israel Institute of Technology · ILUppsala University · SE

Funding

Swedish Cancer Society CAN211417pjSwedish Research Council 2021-01094
6 · The paper itself

Abstract

Heparin is a polysaccharide expressed in animal connective tissue-type mast cells. Owing to the special pentasaccharide sequence, heparin specifically binds to antithrombin (AT) and increases the inhibitory activity of AT towards coagulation enzymes. Heparin isolated from porcine intestinal mucosa has an average molecular weight of 15 kDa, while heparins recovered from rat skin and the peritoneal cavity were 60-100 kDa and can be fragmented by the endo-glucuronidase heparanase in vitro. In this study, we have examined heparin isolated from in vitro matured fetal skin mast cells (FSMC) and peritoneal cavity mast cells (PCMC) collected from wildtype (WT), heparanase knockout (Hpa-KO), and heparanase overexpressing (Hpa-tg) mice. The metabolically

Indexed as

GlucuronidaseMast CellsAnimalsAnticoagulantsAntithrombinsGlycosaminoglycansHeparanaseHeparinMiceRatsSwineAnticoagulantsAntithrombinsGlucuronidaseGlycosaminoglycansHeparanaseHeparinantithrombinheparanaseheparinmast cells

Identifiers

PMID35563215
PMCPMC9102752
OpenAlexW4280567605

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.