Evidence map›Paper›PMID 25926330›Full record

ArticleStem cells translational medicine2015

Proceedings: human leukocyte antigen haplo-homozygous induced pluripotent stem cell haplobank modeled after the california population: evaluating matching in a multiethnic and admixed population.

Derek James Pappas, Pierre-Antoine Gourraud, Caroline Le Gall, Julie Laurent, Alan Trounson, Natalie DeWitt, Sohel Talib

Abstract read
In one paragraph

Article in Stem cells translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Current Landscape of iPSC Haplobanks.Stem cell reviews and reports · 2024
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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

7 authors.

Derek James PappasMethodomics, Mortagne-sur-Sevre, France; Oakland Children's Hospital, Oakland Research Institute, Oakland, California, USA;
Pierre-Antoine GourraudMethodomics, Mortagne-sur-Sevre, France; Institut Sup'Biotech, Villejuif, France; Department of Neurology, School of Medicine, University of California, San Francisco, San Francisco, California, USA;
Caroline Le GallMethodomics, Mortagne-sur-Sevre, France; Institut Sup'Biotech, Villejuif, France;
Julie LaurentMethodomics, Mortagne-sur-Sevre, France; Institut Sup'Biotech, Villejuif, France;
Alan TrounsonCalifornia Institute for Regenerative Medicine, San Francisco, California, USA; Monash Prince Henry's Institute for Medical Research (Hudson Institute), Monash Medical Centre, Melbourne, Victoria, Australia;
Natalie DeWittCalifornia Institute for Regenerative Medicine, San Francisco, California, USA; Monash Prince Henry's Institute for Medical Research (Hudson Institute), Monash Medical Centre, Melbourne, Victoria, Australia; Baxter Laboratory for Stem Cell Research, Stanford University, Stanford, California, USA.
Sohel TalibCalifornia Institute for Regenerative Medicine, San Francisco, California, USA;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of a California-based induced pluripotent stem cell (iPSC) bank based on human leukocyte antigen (HLA) haplotype matching represents a significant challenge and a valuable opportunity for the advancement of regenerative medicine. However, previously published models of iPSC banks have neither addressed the admixed nature of populations like that of California nor evaluated the benefit to the population as a whole. We developed a new model for evaluating an iPSC haplobank based on demographic and immunogenetic characteristics reflecting California. The model evaluates haplolines or cell lines from donors homozygous for a single HLA-A, HLA-B, HLA-DRB1 haplotype. We generated estimates of the percentage of the population matched under various combinations of haplolines derived from six ancestries (black/African American, American Indian, Asian/Pacific Islander, Hispanic, and white/not Hispanic) and data available from the U.S. Census Bureau, the California Institute for Regenerative Medicine, and the National Marrow Donor Program. The model included both cis (haplotype-level) and trans (genotype-level) matching between a modeled iPSC haplobank and the recipient population following resampling simulations. We showed that serving a majority (>50%) of a simulated California population through cis matching would require the creation, redundant storage, and maintenance of almost 207 different haplolines representing the top 60 most frequent haplotypes from each ancestry group. Allowances for trans matching reduced the haplobank to fewer than 141 haplolines found among the top 40 most frequent haplotypes. Finally, we showed that a model optimized, custom haplobank was able to serve a majority of the California population with fewer than 80 haplolines.

Indexed as

Genetics, PopulationCaliforniaCell LineEthnicityGenotypeHaplotypesHistocompatibility TestingHLA AntigensHomozygoteHumansInduced Pluripotent Stem CellsStem Cell ResearchTissue DonorsHLA Antigens

Identifiers

PMID25926330
PMCPMC4414226

What OpenQuestion holds

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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.