Evidence map›Paper›PMID 29536825›Full record

ArticleBMC bioinformatics2018

An integrated approach to infer cross-talks between intracellular protein transport and signaling pathways.

Kumar Parijat Tripathi, Marina Piccirillo, Mario Rosario Guarracino

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2018. 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
0.6field-weighted citation impact, top 35% 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, 6 citations in OpenAlex.

  1. Review
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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

3 authors at 2 institutions in 1 country.

Kumar Parijat TripathiLab-GTP, High Performance Computing and Networking Institute, National Research Council, Via Pietro Castellino, 111, Naples, 80131, Italy. parijat.tripathi@icar.cnr.it.
Marina PiccirilloLab-GTP, High Performance Computing and Networking Institute, National Research Council, Via Pietro Castellino, 111, Naples, 80131, Italy.
Mario Rosario GuarracinoLab-GTP, High Performance Computing and Networking Institute, National Research Council, Via Pietro Castellino, 111, Naples, 80131, Italy.
National Research Council · ITInstitute for High Performance Computing and Networking · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe endomembrane system, known as secretory pathway, is responsible for the synthesis and transport of protein molecules in cells. Therefore, genes involved in the secretory pathway are essential for the cellular development and function. Recent scientific investigations show that ER and Golgi apparatus may provide a convenient drug target for cancer therapy. On the other hand, it is known that abundantly expressed genes in different cellular organelles share interconnected pathways and co-regulate each other activities. The cross-talks among these genes play an important role in signaling pathways, associated to the regulation of intracellular protein transport.

resultsIn the present study, we device an integrated approach to understand these complex interactions. We analyze gene perturbation expression profiles, reconstruct a directed gene interaction network and decipher the regulatory interactions among genes involved in protein transport signaling. In particular, we focus on expression signatures of genes involved in the secretory pathway of MCF7 breast cancer cell line. Furthermore, network biology analysis delineates these gene-centric cross-talks at the level of specific modules/sub-networks, corresponding to different signaling pathways.

conclusionsWe elucidate the regulatory connections between genes constituting signaling pathways such as PI3K-Akt, Ras, Rap1, calcium, JAK-STAT, EFGR and FGFR signaling. Interestingly, we determine some key regulatory cross-talks between signaling pathways (PI3K-Akt signaling and Ras signaling pathway) and intracellular protein transport.

Indexed as

Signal TransductionCluster AnalysisGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansIntracellular SpaceMCF-7 CellsPhosphatidylinositol 3-KinasesProtein TransportProto-Oncogene Proteins c-aktras ProteinsTranscriptomePhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktras ProteinsGenetic NetworkPerturbationSecretory Pathway

Identifiers

PMID29536825
PMCPMC5850946
OpenAlexW2793731617

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.