Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Temporal recording of mammalian development and precancer

ABSTRACT: Temporal recording of mammalian development and precancer

PROVIDER: PRJNA984615 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24918315_1.fastq.gz	Fastqsanger.gz
	SRR24918315_2.fastq.gz	Fastqsanger.gz
	SRR24918316_1.fastq.gz	Fastqsanger.gz
	SRR24918316_2.fastq.gz	Fastqsanger.gz
	SRR24918320_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 88

Similar Datasets

Temporal recording of mammalian development and precancer [WES]

Project description:Temporal recording of mammalian development and precancer [WES]

| PRJNA984620 | ENA

Temporal recording of mammalian development and precancer [rna-seq]

Project description:Temporal recording of mammalian development and precancer [rna-seq]

| PRJNA983786 | ENA

Temporal recording of mammalian development and precancer

Project description:Insights into many biological phenomena requires knowing the temporal order of cellular events, which is traditionally achieved through continuous direct observations [1, 2]. An alternative solution leverages irreversible genetic changes, such as naturally occurring mutations, to create indelible markers that enables retrospective temporal ordering [3-8]. Using Native sgRNA Capture and sequencing (NSC-seq), a newly devised and validated multi-purpose single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo while incorporating cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during murine embryonic development, unconventional developmental relationships between cell types, and new epithelial progenitor states by their unique genetic histories. NSC-seq analysis of murine adenomas coupled to multi-omic and single-cell profiling of human precancers, with clonal analysis of 418 human polyps, demonstrated the occurrence of polyancestral initiation in 15-30% of colonic precancers, revealing their origins from multiple normal founders. Our study presents a multimodal framework that lays the foundation for in vivo recording, integrating synthetic or natural indelible genetic changes with single-cell analyses to explore the origins and timing of development and tumorigenesis in mammalian systems. This SuperSeries is composed of the SubSeries listed below.

2024-07-07 | GSE235119 | GEO

Temporal recording of mammalian development and precancer [WES]

2024-07-07 | GSE235118 | GEO

Temporal recording of mammalian development and precancer [rna-seq]

2024-07-07 | GSE234946 | GEO

The proteomic landscape and temporal dynamics of mammalian gastruloid development

Project description:The proteomic landscape and temporal dynamics of mammalian gastruloid development

| PRJNA1143402 | ENA

Development of colorectal cancer gene expression signatures from expression profiles of embryonic development, precancer progression and cancer samples

Project description:To further development of our gene expression signature for survival prediction, we conducted expression profiles of embryonic development, precancer progression and cancer samples.

2017-02-09 | GSE71187 | GEO

Development of colorectal cancer miRNA expression signatures from expression profiles of embryonic development, precancer progression and cancer samples

2017-02-09 | GSE71130 | GEO

Soybean microbiome - temporal and spatial development

Project description:Soybean microbiome - temporal and spatial development

| PRJNA601979 | ENA

Spatiotemporally Deciphering the Unknown Role of Persistent HPV Infection in Precancer to Cervical Cancer Progression: Integrating Single-Cell RNA-Sequencing Landscape and Spatial Transcriptomics Atlas [Spatial Transcriptomics]

Project description:The mechanism underlying the cervical carcinogenesis mediated by persistent HPV infection remains elusive. Here we pioneeringly deciphered both temporal transition and spatial distribution of the cellular subsets during the disease progression from normal cervix, precancer lesions to cervical cancer by integrating scRNA-seq with ST. We not only identified three ‘HPV-related epithelial clusters’ unique to normal, HSIL and cervical cancer respectively, but also discovered node genes which potentially determined the disease progression. Moreover, we observed a gradual transition of multiple immune cells from positive immune response to dysregulation and exhaustion, to an immune-suppressive microenvironment during the malignant program. Besides, the cellular interaction analysis further verified a ‘homeostasis-balance-malignancy’ change within cervix microenvironment during disease escalation. Together, these findings not only deciphered mysterious persistent HPV infection spatiotemporally from the process of precancer to cervical cancer but also provided unprecedented possibilities for accurate diagnosis, precise treatment and prognosis evaluation for precancer and cervical cancer.

2023-04-02 | GSE208654 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data