In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
14 authors.
Jennifer Rangel AmbrizDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.ORCID 0009-0002-5363-3576 Ziang ChenDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.ORCID 0009-0001-4153-7563 Yu-Hsuan FuDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.ORCID 0000-0002-5917-2961 David E FrankhouserDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.ORCID 0000-0002-8233-5853 Denis O'MeallyDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.ORCID 0000-0001-7749-9506 Lisa UechiDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.
Lianjun ZhangDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.
Ying-Chieh ChenDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.
Sergio BranciamoreDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.ORCID 0000-0002-2556-8765 Jihyun IrizarryDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.
Bin ZhangDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.
Guido MarcucciDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.ORCID 0000-0002-3983-5908 Russell C RockneDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.ORCID 0000-0002-1557-159X Ya-Huei KuoDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, 91010.ORCID 0000-0003-2595-0419 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Temporal dynamics of the peripheral blood transcriptome are crucial for understanding leukemia evolution and response to therapy because they can reveal how gene expression programs drive abnormal cell states, disease heterogeneity, and treatment resistance. Using a mathematical model of state-transitions, we studied the temporal dynamics of peripheral blood messenger RNA (mRNA) and microRNA (miRNA) transcriptomes in a mouse model of acute myeloid leukemia (AML). In our state-transition model, mRNA and miRNA transcriptomes are represented as a particle undergoing Brownian motion in a two-dimensional multiomic potential landscape. Following chemotherapy, we observed a temporal desynchronization between mRNA and miRNA transcriptomic responses corresponding to an asymmetric shift in the landscape. Specifically, mRNA trajectories responded almost immediately post-treatment, whereas miRNA responses were delayed by approximately two weeks. Clustering analysis identified that the temporal delay is driven by a prominent cluster of miRNAs from the imprinted
Indexed as
AMLDlk1-Dio3gene expression dynamicsmathematical modelingmultiomics
Identifiers
PMID42239338
PMCPMC13228236
What Socratic holds
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