Evidence map›Paper›PMID 35909628›Full record

ArticleCurrent research in microbial sciences2022

MAPPINGS, a tool for network analysis of large phospho-signalling datasets: application to host erythrocyte response to

Jack Adderley, Finn O'Donoghue, Christian Doerig, Stephen Davis

Open access · goldAbstract read
In one paragraph

Article in Current research in microbial sciences, 2022. 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 44% 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, 5 citations in OpenAlex.

  1. Article
  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.

Jack AdderleySchool of Health and Biomedical Sciences, RMIT University, Bundoora VIC 3083, Australia.
Finn O'DonoghueSchool of Science, RMIT University, Melbourne, VIC 3053, Australia.
Christian DoerigSchool of Health and Biomedical Sciences, RMIT University, Bundoora VIC 3083, Australia.
Stephen DavisSchool of Science, RMIT University, Melbourne, VIC 3053, Australia.
RMIT University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large datasets of phosphorylation interactions are constantly being generated, but deciphering the complex network structure hidden in these datasets remains challenging. Many phosphorylation interactions occurring in human cells have been identified and constitute the basis for the known phosphorylation interaction network. We overlayed onto this network phosphorylation datasets obtained from an antibody microarray approach aimed at determining changes in phospho-signalling of host erythrocytes, during infection with the malaria parasite

Indexed as

Computational network analysisHost-pathogen interactionsMalariaSignalling

Identifiers

PMID35909628
PMCPMC9325900
OpenAlexW4283661696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.