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Record W1516941884 · doi:10.1111/trf.12028

Antibody‐mediated glycophorin <scp>C</scp> coligation on <scp>K</scp>562 cells induces phosphatidylserine exposure and cell death in an atypical apoptotic process

2012· article· en· W1516941884 on OpenAlexaff
Duncheng Wang, Eva Seto, Jenny Shu, Jonathan A. Micieli, J. Fernandes, Gregory A. Denomme

Bibliographic record

VenueTransfusion · 2012
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsCanadian Blood ServicesUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsGlycophorinPropidium iodideApoptosisFlow cytometryPhosphatidylserineAnnexinMolecular biologyBiologyViability assayCell growthAntigenCell biologyChemistryProgrammed cell deathImmunologyBiochemistry

Abstract

fetched live from OpenAlex

BACKGROUND: Glycophorin C (GPC) is necessary in the maintenance of red blood cell structure. Severe autoimmune hemolytic anemia and hemolytic disease of the fetus and newborn (HDFN) have been associated with Gerbich (Ge) blood group system antigens expressed on GPC. Previous in vitro studies with cord blood progenitor cells have shown that anti-Ge suppresses erythropoiesis. STUDY DESIGN AND METHODS: Here, we evaluated the K562 erythroleukemic cell line to study the cellular effects of a murine anti-GPC. Cell proliferation was evaluated after treatment with anti-GPC. Flow cytometry was used to evaluate exofacial phosphatidylserine (PS) expression and cell viability (propidium iodide binding). Cell morphology was evaluated under light microscopy with cytospin preparations stained with May-Grünwald Giemsa. RESULTS: Anti-GPC dramatically inhibited K562 proliferation and increased PS expression, consistent with cytoplasmic blebbing, suggesting evidence of apoptosis. Z-VAD-FMK, an inhibitor of classical apoptosis, was unable to reverse the suppressive effect of anti-GPC. However, hemin was able to attenuate growth suppression. CONCLUSION: Together, the data suggest that anti-GPC suppresses erythroid proliferation through the induction of nonclassical apoptosis.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.265
Teacher spread0.250 · 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.

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

Citations4
Published2012
Admission routes1
Has abstractyes

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