Evidence map›Paper›PMID 31502569›Full record

ArticleJournal of biosciences2019

The inner workings of intracellular heterotypic and homotypic membrane fusion mechanisms.

Mariel Delgado Cruz, Kyoungtae Kim

Abstract read
PubMed
In one paragraph

Article in Journal of biosciences, 2019. 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
–field-weighted citation impact
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.

  1. Pathogen-induced rerouting of host membrane trafficking.Current opinion in cell biology · 2025
    Review
  2. Article
  3. 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

2 authors.

Mariel Delgado CruzMissouri State University, 901 S. National Ave, Springfield, MO 65897, USA.
Kyoungtae Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracellular trafficking is a field that has been intensively studied for years and yet there remains much to be learned. Part of the reason that there is so much obscurity remaining in this field is due to all the pathways and the stages that define cellular trafficking. One of the major steps in cellular trafficking is fusion. Fusion is defined as the terminal step that occurs when a cargo-laden vesicle arrives at the proper destination. There are two types of fusion within a cell: homotypic and heterotypic fusion. Homotypic fusion occurs when the two membranes merging together are of the same type such as vacuole to vacuole fusion. Heterotypic fusion occurs when the two membranes at play are of different types such as when an endosomal membrane fuses with a Golgi membrane. In this review, we will focus on all the protein components - Rabs, Golgins, Multisubunit tethers, GTPases, protein phosphatases and SNAREs - that have been known to function in both of these types of fusion. We hope to develop a model of how all of these constituents function together to achieve membrane fusion. Membrane fusion is a biological process absolutely necessary for proper intracellular trafficking. Due to the degree of importance multiple proteins are required for it to be properly carried through. Whether we are talking about heterotypic or homotypic fusion, any defects in the fusion machinery can result in disease states such as Parkinson's and Alzheimer's disease. Although much research has significantly expanded our knowledge of fusion, there is still much more to be learned.

Indexed as

Biological TransportCytoplasmGolgi ApparatusGTP PhosphohydrolasesIntracellular MembranesMembrane FusionSaccharomyces cerevisiaeVacuolesVesicular Transport ProteinsGTP PhosphohydrolasesVesicular Transport Proteins

Identifiers

PMID31502569

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.