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ABSTRACT: Shotgun analysis of Roccaverano PDO and similar non PDO cheeses

PROVIDER: PRJNA1160470 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR30684823_1.fastq.gz	Fastqsanger.gz
	SRR30684823_2.fastq.gz	Fastqsanger.gz
	SRR30684824_1.fastq.gz	Fastqsanger.gz
	SRR30684824_2.fastq.gz	Fastqsanger.gz
	SRR30684825_1.fastq.gz	Fastqsanger.gz

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Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare the epigenomes of different patient-derived models of colorectal cancer (PDO, PDX and PDOX) to the original patient tumor. Methods: The Omni-ATAC protocol was utilized for ATAC library preparations. The nulcei were extracted from samples (PT, PDO, PDX and PDOX). For each sample set, three biological replicates were included. The libraries were sequenced using Illumina HiSeq 4000 PE 150bp. Results: Using an optimized data analysis workflow, we achieved high quality ATAC-seq library. Data were mapped to hg19 with over 90% mapping rate, and relative low mitochondria fraction (<30%). We used Diffbind to assess the chromatin accessibility enrichment in each model with a strict threshold of p <0.05 and |logFC|>1. Conclusions: Our study represents the first detailed analysis of CRC PDMC epigenome. CRC cells from all three models share chromatin alterations when compared to PT cells, representing a PT-PDMC epigenetic axis. Chromatin alterations in CRC cells are more similar betweeen PDOX and PDX than between PDOX and PDO, indicating that the growth environment of the model exerts strong influence on chraomtin adaptation in tumor cells.

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Project description:MetaPDOcheese 2: Internal transcribed spacer (ITS) region-based metabarcoding analysis of the French PDO cheeses and milks

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Differential transcriptional invasion signatures from patient derived organoid models define a functional prognostic tool for head and neck cancer

Project description:Clinical outcome for patients suffering from head and neck squamous cell carcinoma (HNSCC) remains poor. This is mostly due to highly invasive tumors that cause loco-regional relapses after initial therapeutic intervention. The molecular pathways governing the detrimental invasive growth modes in HNSCC remain however understudied. Here, we have established HNSCC patient derived organoid (PDO) models that recapitulate 3-dimensional invasion in vitro. Single cell mRNA sequencing was applied to study the differences between non-invasive and invasive conditions, and in a collective versus single cell invading PDO model. Differential expression analysis under invasive conditions in Collagen gels reveals an overall upregulation of a YAP-centered transcriptional program, irrespective of the invasion mode. However, we find that collectively invading HNSCC PDO cells show elevated levels of YAP transcription targets when compared to single cell invasion. Also, collectively invading cells are characterized by increased nuclear translocation of YAP within the invasive strands, which coincides with Collagen-I matrix alignment at the invasive front. Using gene set enrichment analysis, we identify immune cell-like migratory pathways in the single cell invading HNSCC PDO, while collective invasion is characterized by overt upregulation of adhesion and migratory pathways. Lastly, based on a clinical head and neck cancer cohort, we demonstrate that the identified collective invasion signature provides a candidate prognostic platform for survival in HNSCC. By uncoupling collective and single cell invasive programs, we have established invasion signatures that may guide new therapeutic options.

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