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Discovery of progenitor signatures by time series synexpression analysis during Drosophila cell immortalization

ABSTRACT: Discovery of progenitor signatures by time series synexpression analysis during Drosophila cell immortalization

PROVIDER: PRJNA296781 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR2496890_1.fastq.gz	Fastqsanger.gz
	SRR2496890_2.fastq.gz	Fastqsanger.gz
	SRR2496900_1.fastq.gz	Fastqsanger.gz
	SRR2496900_2.fastq.gz	Fastqsanger.gz
	SRR2496910_1.fastq.gz	Fastqsanger.gz

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Project description:To characterize the sequence of events associated with RasV12 immortalization of Drosophila embryonic cells, we generated transcriptional time series during cell line establishment, from primary cultures until passage (P) 19. We generated two transcriptional time series from two cell lines (R3 and R7) by sampling the cultures at successive stages, early (P2-4), intermediate (P4-11), and late (P16-19), characterized by different passage times. Time points for the R3 time-series were: P2, P2 (replicate), P5, P6, P7, P8, P16, P17 and P19; for the R7 time-series: P2, P2 (replicate), P3, P4, P7, P8, P16, P17 and P19.

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Project description:The use of time series profiling to identify groups of functionally related genes (synexpression groups) is a powerful approach for the discovery of gene function. Here we apply this strategy during Ras(V12) immortalization of Drosophila embryonic cells, a phenomenon not well characterized. Using high-resolution transcriptional time-series datasets, we generated a gene network based on temporal expression profile similarities. This analysis revealed that common immortalized cells are related to adult muscle precursors (AMPs), a stem cell-like population contributing to adult muscles and sharing properties with vertebrate satellite cells. Remarkably, the immortalized cells retained the capacity for myogenic differentiation when treated with the steroid hormone ecdysone. Further, we validated in vivo the transcription factor CG9650, the ortholog of mammalian Bcl11a/b, as a regulator of AMP proliferation predicted by our analysis. Our study demonstrates the power of time series synexpression analysis to characterize Drosophila embryonic progenitor lines and identify stem/progenitor cell regulators.

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