Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Dynamic transcriptional landscape of canine hematopoiesis and cross-species comparisons revealed by single-cell RNA sequencing

ABSTRACT: Dynamic transcriptional landscape of canine hematopoiesis and cross-species comparisons revealed by single-cell RNA sequencing

PROVIDER: PRJNA1232200 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR32581573_1.fastq.gz	Fastqsanger.gz
	SRR32581573_2.fastq.gz	Fastqsanger.gz
	SRR32581574_1.fastq.gz	Fastqsanger.gz
	SRR32581574_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 5

Similar Datasets

Dynamic transcriptional landscape of canine hematopoiesis and cross-species comparisons revealed by single-cell RNA sequencing

Project description:We used single-cell RNA sequencing to characterize the heterogeneity of canine hematopoieitic cells collected from bone marrow.

2025-06-20 | GSE291209 | GEO

Canine normal tissue gene expression profiles

Project description:Our understanding of disease is increasingly informed by changes in gene expression between normal and abnormal tissues. The release of the canine genome sequence in 2005 provided an opportunity to understand health and disease in the dog using investigative techniques including gene expression profiling. Accordingly, we now present a publicly accessible canine normal tissue gene expression database that will streamline the study of canine tissues and facilitate comparative genomic analysis with other mammals. The Affymetrix platform was utilized to catalogue the genetic signatures of normal canine tissues including: liver, kidney, heart, lung, cerebrum, lymph node, spleen, jejunum, pancreas and skeletal muscle. The quality of the database was assessed in several ways. Organ defining gene sets were identified for each tissue and functional enrichment analysis revealed themes consistent with known physio-anatomic functions for each organ. In addition, a comparison of orthologous gene expression between matched canine and human normal tissues uncovered remarkable similarity. Public access and use of this data, using infrastructure identical to that currently in use for human normal tissues, has been established and allows for additional cross-species comparisons. To demonstrate the utility of this dataset, novel canine gene annotations were established based on comparative analysis of dog and human tissue selective gene expression and manual curation of canine probeset mapping. It is expected that this dataset will contribute to more advanced study of disease in the dog and biologically robust biomedical studies that utilize the dog as a model for translational research.

2010-12-31 | GSE20113 | GEO

Canine normal tissue gene expression profiles

2010-12-31 | E-GEOD-20113 | biostudies-arrayexpress

Intra-species comparisons

Project description:Intra-species comparisons

| PRJNA108807 | ENA

Canine osteosarcoma cell lines and tissues

Project description:Cell lines and tumor tissues from canine osteosarcomas with accompanying survival and breed data. Comparisons of gene expression between osteosarcoma-derived cell lines and osteosarcoma tissues.

2011-09-07 | E-GEOD-27217 | biostudies-arrayexpress

Resolution of genome-wide molecular signals in canine mammary tumor model

Project description:Modeling molecular changes in breast cancer with naturally occurring canine mammary tumors and cross-organism analysis enables resolution of malignancy-specific processes.

2020-12-14 | GSE136197 | GEO

Wastewater Metagenome Comparisons

Project description:Wastewater Metagenome Comparisons Metagenome

| PRJNA770955 | ENA

Dynamic RNA acetylation revealed by quantitative cross-evolutionary mapping

Project description:Dynamic RNA acetylation revealed by quantitative cross-evolutionary mapping

| PRJNA560218 | ENA

Dynamic RNA acetylation revealed by quantitative cross-evolutionary mapping

Project description:N4-acetylcytidine (ac4C) is an ancient and highly conserved RNA modification, present on tRNA, rRNA and recently investigated in eukaryotic mRNA. We report ac4C-seq, a chemical genomic method for single-nucleotide resolution, transcriptome-wide quantitative mapping of ac4C. While we did not find detectable ac4C sites in human and yeast mRNAs, ac4C was induced via ectopic overexpression of eukaryotic acetyltransferase complexes, invariably at a conserved sequence motif. In contrast, cross-evolutionary profiling reveals unprecedented levels of ac4C across hundreds of residues in rRNA, tRNA, ncRNA and mRNA from hyperthermophilic archaea. Ac4C is dramatically induced in response to temperature, and acetyltransferase-deficient archaeal strains exhibit temperature-dependent growth defects. Cryo-EM visualization of WT and acetyltransferase-deficient archaeal ribosomes furnishes structural insights into the temperature-dependent distribution of ac4C and its potential thermoadaptive role. Our studies quantitatively define the ac4C landscape, providing a technical and conceptual foundation for unravelling this modification’s role in biology and disease.

2020-07-23 | GSE135826 | GEO

Canine

Project description:Canine

| PRJNA687522 | ENA