Identifying stromal-epithelial interactions in the mammary gland through genome-wide siRNA screening.
Notice bibliographique
Résumé
Abstract Abstract #101 Stromal-epithelial interactions have been implicated in all stages of mammary gland development and malignancy. Although stromal composition is dynamic over time, fibroblasts account for a large proportion of the cellular compartment. The relationship between the fibroblasts and the mammary epithelial cells hitherto remains ill defined. A striking example of the relationship between the two cell types lies in the obligatory requirement for fibroblasts in the Colony Forming Assay (CFC assay). When plated with irradiated fibroblasts, mammary epithelial cells obtained from dissociated normal tissues are able to form colonies containing either all myoepithelial cells, all luminal cells or both. Mixed colonies represent derivation from bipotent progenitor cells, the most primitive detectable cell within the breast lineage hierarchy. The fibroblast dependency exhibited by primitive cells within the CFC assay is mimicked by the 184-hTERT cell line. This is a heterogeneous normal mammary epithelial cell line immortalized through the forced expression of human telomerase. A series of clonal cell lines was derived from the earliest available passage of 184-hTERT cells and 14 unique telomerase integration sites were found amongst the original cells. Interestingly, all of these clonal lines have the propensity to selectively gain chromosome 20 during passaging. Copy number gain of chromosome 20 is associated with poor clinical prognosis in breast cancer and is thought to play a role in oncogenic progression. A genome-wide siRNA screen has been completed targeting the 184-hTERT cells in a modified CFC assay to identify genes that are involved in fibroblast dependant growth. The screen was done in parallel using an early passage diploid 184-hTERT clonal line and a later passage (48,XX,+20,+20) clonal line. Dharmacon's human siGENOME library was used to individually interrogate approximately 22,000 genes found within the NCBI RefSeq database. Effects on fibroblast dependant growth were established through cell counts derived from images collected on GE's InCell Analyzer and segmented using Cell Profiler. 4225 genes showed conservative statistically significant evidence of difference in cell counts using the Bonferroni-Holm multiple comparisons method in both or either of the cell lines. Of these, 534 have an annotated location on the plasma membrane. Receptors to obligatory media components including Insulin, EGF and Transferrin were captured in this dataset. Not all of these genes will be specific to fibroblast dependant growth and thus the cognate ligands to these targets have been identified and are currently being manipulated in the fibroblasts. Modified fibroblasts will be used in the CFC assay to judge effects on mammary progenitor cell growth and will be co-cultured with carcinoma cells to evaluate effects on proliferation. This global assessment of the interactions between normal and malignant epithelial cells with fibroblasts has broad spanning implications ranging from the culturing of mammary progenitor cells to therapeutic target selection. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 101.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».