Comparative Transcriptome Analysis of Different Subsets of CD34+ Normal and Chronic Myeloid Leukemia Cells Identifies Novel Perturbations in the CML Stem Cell Population.
Notice bibliographique
Résumé
Abstract Chronic myeloid leukemia (CML) arises from a hematopoietic stem cell that acquires a BCR-ABL fusion gene. During the chronic phase of the disease, this cell produces an expanding multi-lineage clone that usually comes to dominate all terminal stages of myelopoiesis. However, eventually, further mutations are acquired which cause progression to a rapidly fatal acute leukemia. To obtain new insights into the molecular perturbations that cause CML stem cells to initiate chronic phase disease, we generated Long Serial Analysis of Gene Expression (LongSAGE) libraries (∼200,000 tags/library) from extracts of highly purified lin−CD34+CD45RA−CD36−CD71−CD7−CD38+ and lin−CD34+CD45RA−CD36−CD71−CD7−CD38− normal bone marrow (BM) and G-CSF-mobilized peripheral blood (G-mPB) cells as well as cells from 3 chronic phase CML patients with predominantly Ph+/BCR-ABL+ cells in both of these very primitive cell subsets. Long term culture-initiating cell (LTC-IC) and direct colony-forming cell (CFC) assays performed on an aliquot of each of these cell populations showed the frequency of LTC-IC were 4 to 130-fold higher in the 34+38− cells than in the matching 34+38+ cells with the opposite trend for the CFCs. Comparison of the tags present in the pooled CML and pooled normal BM and G-mPB libraries revealed many differentially expressed genes. Real-time RT-PCR analysis of lin−CD34+ cells from 14 chronic phase CML patients and 3 normal BMs confirmed the differential expression of 14 candidate transcripts identified by SAGE (changes ranging from 3-fold lower to 80-fold higher in the CML cells, p<0.05). The altered levels of expression of 5 of these genes (i.e., beta-catenin, MLLT3, IL1R1, LY6E and GAS2) were highly correlated with the relative levels of BCR-ABL transcripts in the same cells (r ≥0.6). 5 of the 14 genes (IL1R1, vWF, SOX4, SELL and RHOB) were found to be differentially expressed in the 3-day post-transduction progeny of CD34+ cord blood cells exposed to a BCR/ABL-IRES-GFP vs a control GFP- lentivirus preparation (n=2). 3 (GAS2, DUSP1 and TP53BP2) were upregulated (5 to 11-fold) in imatinib-treated K562 cells (as compared to untreated K562 cells) but their expression remained unchanged in similarly treated KG1 cells (a primitive BCR-ABL-negative human AML cell line) providing further evidence that their deregulated expression is secondary to the kinase activity of p210BCR-ABL. In addition, from a comparison of the meta-library for the 34+38− CML cells with the meta-libraries for both the normal 34+38− and 34+38+ cells, the meta-library for the 34+38+ CML cells and most publicly accessible SAGE data, we were able to identify 65 novel tags in the 34+38− CML cells. 32 of these unique tags were located within conserved genomic regions and >2 kb away from known transcripts, and of these 32, 3 were confirmed to represent novel transcripts using a PCR approach. These results illustrate the potential of SAGE to reveal novel as well as known components in the transcriptomes of rare normal and cancer stem cell populations. Investigation of their roles in primitive human cells transduced with BCR-ABL and BCR-ABL+ cell lines indicates the utility of these models for further delineation of the complex effects of BCR-ABL expression in chronic phase CML stem cells.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».