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Record W2152913678 · doi:10.1096/fj.00-0705fje

Establishment of normal, terminally differentiating mouse erythroid progenitors: molecular characterization by cDNA arrays

2001· article· en· W2152913678 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe FASEB Journal · 2001
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsInstitute of Cancer Research
Fundersnot available
KeywordsComplementary DNAMolecular biologyCell biologyBiologyProgenitor cellProgenitorGeneticsGeneStem cell

Abstract

fetched live from OpenAlex

ABSTRACT Expression profiling with cDNA arrays is an excellent tool for molecular analysis of complex processes such as terminal erythroid differentiation. The shortcomings of the currently available erythroid in vitro differentiation models, however, severely impaired the usefulness of this approach to study erythropoiesis. Here, we describe a novel, murine erythroid cell system closely corresponding to in vivo erythroid progenitors. Mortal, long‐term proliferating erythroid progenitors of fetal liver or immortal strains of p53‐deficient erythroblasts were established in culture. Both cell types proliferated in serum‐free medium and were strictly dependent on physiologically relevant cytokines and hormones, stably retaining a diploid set of chromosomes. If exposed to physiological differentiation factors (erythropoietin plus insulin), cells synchronously recapitulated the normal in vivo differentiation program to mature terminally into enucleated erythrocytes and expressed stage‐specific erythroid transcription factors in the expected temporal order. Using cDNA arrays, we found a large number of genes differentially expressed at time points during differentiation. Already 6 h after differentiation induction, 17% of the expressed genes showed significant alterations in mRNA abundance, increasing to 53% (12% up‐regulated, 41% down‐regulated genes) by 48 h. Cluster analysis of mRNA expression kinetics during differentiation identified six distinct expression patterns. All genes on the array with a known function in erythropoiesis showed the expected variations in expression. The genes identified also allowed first insights into the sequence of events within the regulatory network responsible for erythroid maturation. In mortal wild‐type as well as immortal p53 ‐/‐ erythroblasts, changes in mRNA abundance of several well‐regulated gene products was verified at the protein level. Taken together, this novel hematopoietic cell system faithfully executes essential steps of normal erythropoiesis and allows us to dissect and characterize molecular mechanisms involved in erythropoiesis.

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.

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 score0.009
Threshold uncertainty score0.395

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)0.0000.000

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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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