Evidence map›Paper›PMID 22895700›Full record

ReviewFunctional & integrative genomics2012

Chromosomes in the flow to simplify genome analysis.

Jaroslav Doležel, Jan Vrána, Jan Safář, Jan Bartoš, Marie Kubaláková, Hana Simková

Open access · hybridAbstract readReview
In one paragraph

Review in Functional & integrative genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
16.5field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 115 citations in OpenAlex.

  1. Cytogenomic profiling ofJournal of ginseng research · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Comparative genomic analysis of 5MFrontiers in plant science · 2023
    Article
  9. Flow Cytometric Analysis and Sorting of Plant Chromosomes.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  10. Isolation and Sequencing of Chromosome Arm 7RS of Rye,International journal of molecular sciences · 2022
    Article
  11. Article
  12. Article
  13. Flow karyotyping of wheat-Frontiers in plant science · 2022
    Article
  14. Chromosome analysis and sorting.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021
    Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Jaroslav DoleželCentre of the Region Haná for Biotechnological and Agricultural Research, Institute of Experimental Botany, Sokolovská 6, Olomouc, Czech Republic. dolezel@ueb.cas.cz
Jan Vrána
Jan Safář
Jan Bartoš
Marie Kubaláková
Hana Simková
Czech Academy of Sciences, Institute of Experimental Botany · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear genomes of human, animals, and plants are organized into subunits called chromosomes. When isolated into aqueous suspension, mitotic chromosomes can be classified using flow cytometry according to light scatter and fluorescence parameters. Chromosomes of interest can be purified by flow sorting if they can be resolved from other chromosomes in a karyotype. The analysis and sorting are carried out at rates of 10(2)-10(4) chromosomes per second, and for complex genomes such as wheat the flow sorting technology has been ground-breaking in reducing genome complexity for genome sequencing. The high sample rate provides an attractive approach for karyotype analysis (flow karyotyping) and the purification of chromosomes in large numbers. In characterizing the chromosome complement of an organism, the high number that can be studied using flow cytometry allows for a statistically accurate analysis. Chromosome sorting plays a particularly important role in the analysis of nuclear genome structure and the analysis of particular and aberrant chromosomes. Other attractive but not well-explored features include the analysis of chromosomal proteins, chromosome ultrastructure, and high-resolution mapping using FISH. Recent results demonstrate that chromosome flow sorting can be coupled seamlessly with DNA array and next-generation sequencing technologies for high-throughput analyses. The main advantages are targeting the analysis to a genome region of interest and a significant reduction in sample complexity. As flow sorters can also sort single copies of chromosomes, shotgun sequencing DNA amplified from them enables the production of haplotype-resolved genome sequences. This review explains the principles of flow cytometric chromosome analysis and sorting (flow cytogenetics), discusses the major uses of this technology in genome analysis, and outlines future directions.

Indexed as

AnimalsChromosome PaintingChromosomesChromosome StructuresFlow CytometryGene LibraryGenome, HumanGenomicsHumansKaryotypeMitosisOligonucleotide Array Sequence AnalysisPhysical Chromosome MappingPlants

Identifiers

PMID22895700
PMCPMC3431466
OpenAlexW2031509854

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.