Evidence map›Paper›PMID 23715006›Full record

ReviewNucleus (Austin, Tex.)

When yeast cells meet, karyogamy!: an example of nuclear migration slowly resolved.

Romain Gibeaux, Michael Knop

Abstract readReview
In one paragraph

Review in Nucleus (Austin, Tex.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Nuclear Fusion in Yeast and Plant Reproduction.Plants (Basel, Switzerland) · 2023
    Article
  3. Article
  4. Article
  5. Sporulation inJournal of fungi (Basel, Switzerland) · 2020
    Review
  6. Nuclear movement in fungi.Seminars in cell & developmental biology · 2018
    Review
  7. Review
  8. Cell biology of yeast zygotes, from genesis to budding.Biochimica et biophysica acta · 2015
    Review
  9. 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.

Romain GibeauxEuropean Molecular Biology Laboratory EMBL, Heidelberg, Germany.
Michael Knop

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytoskeleton-mediated transport processes are central to the subcellular organization of cells. The nucleus constitutes the largest organelle of a cell, and studying how it is positioned and moved around during various types of cell morphogenetic processes has puzzled researchers for a long time. Now, the molecular architectures of the underlying dynamic processes start to reveal their secrets.   In yeast, karyogamy denotes the migration of two nuclei toward each other-termed nuclear congression-upon partner cell mating and the subsequent fusion of these nuclei to form a diploid nucleus. It constitutes a well-studied case. Recent insights completed the picture about the molecular processes involved and provided us with a comprehensive model amenable to quantitative computational simulation of the process. This review discusses our understanding of yeast nuclear congression and karyogamy and seeks to explain how a detailed, quantitative and systemic understanding has emerged from this knowledge.

Indexed as

Gene Expression Regulation, FungalAnimalsCell NucleusDiploidyKinesinsMicrotubule-Associated ProteinsMicrotubule ProteinsMicrotubulesModels, BiologicalSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsCIK1 protein, S cerevisiaeKAR3 protein, S cerevisiaeKinesinsMicrotubule-Associated ProteinsMicrotubule ProteinsSaccharomyces cerevisiae ProteinsKar3karyogamykinesin-14microtubule dynamicsmicrotubule motor proteinnuclear fusionnuclear migrationspindle pole bodyyeast cell morphogenesisyeast mating

Identifiers

PMID23715006
PMCPMC3720748

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.