Evidence map›Paper›PMID 33615737›Full record

ReviewCytometry. Part A : the journal of the International Society for Analytical Cytology2021

Chromosome analysis and sorting.

Jaroslav Doležel, Sergio Lucretti, István Molnár, Petr Cápal, Debora Giorgi

Open access · hybridAbstract readReview
In one paragraph

Review in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.9field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Flow Cytometric Analysis and Sorting of Plant Chromosomes.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Article
  6. Flow Sorting-Assisted Optical Mapping.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  7. Chromosome Conformation Capture of Mitotic Chromosomes.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Transfer of theFrontiers in plant science · 2022
    Article
  9. Flow karyotyping of wheat-Frontiers in plant science · 2022
    Article
  10. Review
  11. Chromosome analysis and sorting.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021
    Review
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

5 authors at 2 institutions in 3 countries.

Jaroslav DoleželInstitute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic.ORCID 0000-0002-6263-0492
Sergio LucrettiItalian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Division of Biotechnology and Agroindustry, Rome, Italy.
István MolnárInstitute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic.
Petr CápalInstitute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic.
Debora GiorgiItalian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Division of Biotechnology and Agroindustry, Rome, Italy.
Czech Academy of Sciences, Institute of Experimental Botany · CZNational Agency for New Technologies, Energy and Sustainable Economic Development · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow cytometric analysis and sorting of plant mitotic chromosomes has been mastered by only a few laboratories worldwide. Yet, it has been contributing significantly to progress in plant genetics, including the production of genome assemblies and the cloning of important genes. The dissection of complex genomes by flow sorting into the individual chromosomes that represent small parts of the genome reduces DNA sample complexity and streamlines projects relying on molecular and genomic techniques. Whereas flow cytometric analysis, that is, chromosome classification according to fluorescence and light scatter properties, is an integral part of any chromosome sorting project, it has rarely been used on its own due to lower resolution and sensitivity as compared to other cytogenetic methods. To perform chromosome analysis and sorting, commercially available electrostatic droplet sorters are suitable. However, in order to resolve and purify chromosomes of interest the instrument must offer high resolution of optical signals as well as stability during long runs. The challenge is thus not the instrumentation, but the adequate sample preparation. The sample must be a suspension of intact mitotic metaphase chromosomes and the protocol, which includes the induction of cell cycle synchrony, accumulation of dividing cells at metaphase, and release of undamaged chromosomes, is time consuming and laborious and needs to be performed very carefully. Moreover, in addition to fluorescent staining chromosomal DNA, the protocol may include specific labelling of DNA repeats to facilitate discrimination of particular chromosomes. This review introduces the applications of chromosome sorting in plants, and discusses in detail sample preparation, chromosome analysis and sorting to achieve the highest purity in flow-sorted fractions, and their suitability for downstream applications.

Indexed as

Chromosomes, PlantPlantsCell CycleFlow CytometryMetaphasecell cycle synchronizationDNA amplificationDNA isolationgene mapping and cloninggenome sequencingliquid chromosome suspensionmarker developmentmitotic metaphase chromosomesrepetitive DNA labelling

Identifiers

PMID33615737
PMCPMC8048479
OpenAlexW1521819627

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.