Evidence map›Paper›PMID 26564978›Full record

ArticleJournal of biosciences2015

Temporal protein expression pattern in intracellular signalling cascade during T-cell activation: a computational study.

Piyali Ganguli, Saikat Chowdhury, Rupa Bhowmick, Ram Rup Sarkar

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of biosciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Piyali GanguliChemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Pune 411 008, India.
Saikat Chowdhury
Rupa Bhowmick
Ram Rup Sarkar
Academy of Scientific and Innovative Research · INNational Chemical Laboratory · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various T-cell co-receptor molecules and calcium channel CRAC play a pivotal role in the maintenance of cell's functional responses by regulating the production of effector molecules (mostly cytokines) that aids in immune clearance and also maintaining the cell in a functionally active state. Any defect in these co-receptor signalling pathways may lead to an altered expression pattern of the effector molecules. To study the propagation of such defects with time and their effect on the intracellular protein expression patterns, a comprehensive and largest pathway map of T-cell activation network is reconstructed manually. The entire pathway reactions are then translated using logical equations and simulated using the published time series microarray expression data as inputs. After validating the model, the effect of in silico knock down of co-receptor molecules on the expression patterns of their downstream proteins is studied and simultaneously the changes in the phenotypic behaviours of the T-cell population are predicted, which shows significant variations among the proteins expression and the signalling routes through which the response is propagated in the cytoplasm. This integrative computational approach serves as a valuable technique to study the changes in protein expression patterns and helps to predict variations in the cellular behaviour.

Indexed as

Signal TransductionCalcium ChannelsCostimulatory and Inhibitory T-Cell ReceptorsGene Expression RegulationGene Regulatory NetworksHumansIntercellular Signaling Peptides and ProteinsLymphocyte ActivationMicroarray AnalysisORAI1 ProteinTime FactorsT-LymphocytesTranscription FactorsCalcium ChannelsCostimulatory and Inhibitory T-Cell ReceptorsIntercellular Signaling Peptides and ProteinsORAI1 ProteinORAI1 protein, humanTranscription Factors

Identifiers

PMID26564978
OpenAlexW2233744519

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.