Evidence map›Paper›PMID 29791783›Full record

ArticleProteomics2018

In silico and Wet Bench Interactomics Sheds Light on the Similitudes and Differences between Human ROCO Proteins.

Jean-Marc Taymans, Marie-Christine Chartier-Harlin

Abstract readComment
PubMed Publisher
In one paragraph

Article in Proteomics, 2018. 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
0.3field-weighted citation impact, top 38% 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, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jean-Marc TaymansUMR-S1172 Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer CHU Lille, Inserm and Université de Lille, Team "Early Stages of Parkinson's disease", Lille, 59000, France.
Marie-Christine Chartier-HarlinUMR-S1172 Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer CHU Lille, Inserm and Université de Lille, Team "Early Stages of Parkinson's disease", Lille, 59000, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Defining a common and specific function for homologs of a novel protein family is not a trivial task. In their recent study, Tomkins and colleagues have addressed this challenge for the ROCO protein family by exploring interactomes of its four human members: MASL1, DAPK1, LRRK1, and LRRK2. ROCO proteins are characterized by a Ras-GTPase domain embedded in complex multidomain proteins and a functional descriptor for this protein family has been elusive despite accumulating research, particularly for LRRK2, a protein implicated in Parkinson's disease. Tomkins et al. have combined an in silico weighted literature mining approach with novel interactomics data obtained on protein chips for all four proteins under strictly comparable conditions. The combination of these approaches has allowed the prudent formulation of common functions for ROCO proteins, including their involvement in stress response and cell projection organization. In addition, the study also confirms functional specificity for the individual ROCOs with such functions as cell death and apoptosis assigned to DAPK1, cellular, and neuronal development associated with LRRK1 and intracellular transport and organization assigned to LRRK2.

Indexed as

Parkinson DiseaseProtein Interaction MapsGTP PhosphohydrolasesHumansLeucine-Rich Repeat Serine-Threonine Protein Kinase-2Protein Serine-Threonine KinasesGTP PhosphohydrolasesLeucine-Rich Repeat Serine-Threonine Protein Kinase-2LRRK1 protein, humanLRRK2 protein, humanProtein Serine-Threonine KinasesDAPK1LRRK1LRRK2MASL1

Identifiers

PMID29791783
OpenAlexW2804822473

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.