Evidence map›Paper›PMID 36361693›Full record

ArticleInternational journal of molecular sciences2022

Prognostic Analysis of Human Pluripotent Stem Cells Based on Their Morphological Portrait and Expression of Pluripotent Markers.

Olga A Krasnova, Vitaly V Gursky, Alina S Chabina, Karina A Kulakova, Larisa L Alekseenko, Alexandra V Panova, Sergey L Kiselev, Irina E Neganova

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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. Review
  2. Article
  3. Automated Image-Based Profiling of Pluripotent Stem Cell Colonies.bioRxiv : the preprint server for biology · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Medical Genetics, Genomics and Bioinformatics-2022.International journal of molecular sciences · 2023
    Article
  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

8 authors.

Olga A KrasnovaInstitute of Cytology, 194064 Saint Petersburg, Russia.
Vitaly V GurskyInstitute of Cytology, 194064 Saint Petersburg, Russia.ORCID 0000-0003-4094-1983
Alina S ChabinaInstitute of Cytology, 194064 Saint Petersburg, Russia.
Karina A KulakovaInstitute of Cytology, 194064 Saint Petersburg, Russia.
Larisa L AlekseenkoInstitute of Cytology, 194064 Saint Petersburg, Russia.ORCID 0000-0003-0814-9961
Alexandra V PanovaEndocrinology Research Centre, 115478 Moscow, Russia.
Sergey L KiselevVavilov Institute of General Genetics, Russian Academy of Sciences, 117971 Moscow, Russia.
Irina E NeganovaInstitute of Cytology, 194064 Saint Petersburg, Russia.

Funding

Russian Science Foundation 21-75-20132
6 · The paper itself

Abstract

The ability of human pluripotent stem cells for unlimited proliferation and self-renewal promotes their application in the fields of regenerative medicine. The morphological assessment of growing colonies and cells, as a non-invasive method, allows the best clones for further clinical applications to be safely selected. For this purpose, we analyzed seven morphological parameters of both colonies and cells extracted from the phase-contrast images of human embryonic stem cell line H9, control human induced pluripotent stem cell (hiPSC) line AD3, and hiPSC line HPCASRi002-A (CaSR) in various passages during their growth for 120 h. The morphological phenotype of each colony was classified using a visual analysis and associated with its potential for pluripotency and clonality maintenance, thus defining the colony phenotype as the control parameter. Using the analysis of variance for the morphological parameters of each line, we showed that selected parameters carried information about different cell lines and different phenotypes within each line. We demonstrated that a model of classification of colonies and cells by phenotype, built on the selected parameters as predictors, recognized the phenotype with an accuracy of 70-75%. In addition, we performed a qRT-PCR analysis of eleven pluripotency markers genes. By analyzing the variance of their expression in samples from different lines and with different phenotypes, we identified group-specific sets of genes that could be used as the most informative ones for the separation of the best clones. Our results indicated the fundamental possibility of constructing a morphological portrait of a colony informative for the automatic identification of the phenotype and for linking this portrait to the expression of pluripotency markers.

Indexed as

Induced Pluripotent Stem CellsPluripotent Stem CellsBiomarkersCell DifferentiationEmbryonic Stem CellsHumansPrognosisBiomarkersclassificationhuman embryonic stem cellshuman induced pluripotent stem cellsmorphological parameterspluripotency markers

Identifiers

PMID36361693
PMCPMC9656397

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Registered trials

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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.