MétaCan
Menu
Back to cohort
Record W2983167487 · doi:10.1182/blood-2019-128830

A Reproducible and Simple Method to Generate Red Blood Cells from Human Pluripotent Stem Cells

2019· article· en· W2983167487 on OpenAlexaff
Marta A. Walasek, Crystal Chau, Christian Barborini, Matthew R. Richardson, Stephen J. Szilvassy, Sharon A. Louis, Terry E. Thomas, Allen Eaves, Albertus W. Wognum

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsBC Cancer AgencyStemcell Technologies
Fundersnot available
KeywordsInduced pluripotent stem cellHaematopoiesisStem cellCell biologyBiologyEmbryonic stem cellProgenitor cellMatrigelCell cultureCellular differentiationEmbryoid bodyImmunologyGenetics

Abstract

fetched live from OpenAlex

Erythroid cells generated from human pluripotent stem cells (hPSCs) can potentially offer an unlimited and safe supply of red blood cells (RBCs) for transfusion. Human PSC-derived erythroid cells at various stages of differentiation can also be used to model blood diseases, test new drug candidates, and develop cellular and genetic therapies. Although several protocols for deriving RBCs from hPSCs have been described, these are typically complex, involving multiple culture steps that may include co-culture with feeder cells, and exhibit large variability in erythroid cell yields between hPSC lines and replicate experiments. We have developed a straightforward, serum-free and feeder-free culture method to generate erythroid cells from hPSCs with high yields and high purity. The method has been validated on multiple human embryonic stem (ES) cell lines (H1, H7, H9) and induced pluripotent stem (iPS) cell lines (WLS-1C, STiPS-F016, STiPS-B004). The protocol involves two steps: hematopoietic specification of hPSCs, followed by differentiation of hPSC-derived hematopoietic stem and progenitor cells (HSPCs) into erythroid cells. Lineage specification and differentiation is driven by only three supplements that combine cytokines and other factors to support optimal differentiation efficiency and cell yield across cell lines. In the first step, small hPSC aggregates routinely maintained in feeder-free maintenance medium, are plated onto matrigel-coated microwells, and specification to mesoderm and subsequent hematoendothelial differentiation is induced by addition of successive expansion supplements. This phase promotes extensive hematopoietic progenitor cell generation, with a single hPSC producing on average 142 HSPCs (range: 50 - 360, n = 3 experiments) by day 10 across all six ES and iPS cell lines tested. The average frequency of cells expressing CD43, an embryonic pan-hematopoietic marker, is 92% (range: 85 - 95%), and the frequency of CD34+ cells ranges between 24-55%. In the second, erythroid differentiation step, hPSC-derived HSPCs expand on average 300-fold (range: 80 - 1000) within 10 - 14 days, and the average frequency of GlyA+ cells is 75% (range: 70 - 85%). Cumulatively, this results in the generation of on average 30,000 GlyA+ cells (range: 10,000 - 80,000) per initial hPSC after 20 - 24 days. Further maturation in 7-day cultures containing EPO and human serum resulted in a > 90% pure population of GlyA+ erythroid cells. Notably, no cell loss was observed during the maturation phase, resulting in an average yield of 50,000 GlyA+ cells (range: 10,000 - 220,000) per single initial hPSC on day 31. Differentiated cells were characterized by orthochromatic normoblast morphology and decreased CD71 expression, consistent with erythroid maturation. Erythroid cells generated in this differentiation culture system expressed a mix of 'primitive' and 'definitive' hemoglobin types, but with adult and fetal hemoglobin being expressed at higher levels than embryonic hemoglobin. The observed enucleation rates of hPSC-derived erythroid cells are consistent with current reports and are subject to further optimization. In summary, we have developed a two-step, serum- and feeder-free erythroid differentiation method to generate large numbers of erythroid cells from multiple hPSC lines. This culture system provides a simple, standardized and reproducible platform to generate RBCs from hPSCs with high yields and efficiency for basic and translational research. Disclosures Walasek: STEMCELL Technologies, Inc: Employment. Chau:STEMCELL Technologies, Inc: Employment. Barborini:STEMCELL Technologies, Inc: Employment. Richardson:STEMCELL Technologies, Inc: Employment. Szilvassy:STEMCELL Technologies, Inc: Employment. Louis:STEMCELL Technologies, Inc: Employment. Thomas:STEMCELL Technologies, Inc: Employment. Eaves:STEMCELL Technologies, Inc: Employment. Wognum:STEMCELL Technologies, Inc: Employment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.270
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicErythrocyte Function and PathophysiologyFrench-language works237,207