Major multilevel molecular divergence between THP‐1 cells from different biorepositories
Bibliographic record
Abstract
The THP-1 cell line is broadly used as a model for acute myeloid leukemia (AML) with MLL fusion and to study monocyte differentiation and function. We studied THP-1 cells obtained from two major biorepositories. The two cell lines were closely related with a percentage match of short tandem repeat (STR) profiles ranging from 93.75% to 100%, depending on the algorithm used. Nevertheless, we found that the two cell lines presented discordant HLA type, cytogenetic aberrations and AML-related gene expression (including critical targets of MLL fusion). These discrepancies resulted mainly from loss of heterozygosity (LOH) involving five chromosomal regions. In view of their aberrant expression of key "leukemia" genes (e.g., LIN28B, MEIS1 and SPARC), we argue that one of the THP-1 cell lines may not be a reliable model for studying leukemia. Their defective expression of HLA molecules and abnormal adhesion properties is also a caveat for studies of antigen presentation. In a more general perspective, our findings show that seemingly minor discrepancies in STR profiles among cell lines may be the sign of major genetic drift, of sufficient magnitude to affect the reliability of cell line-based research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".