This SuperSeries is composed of the SubSeries listed below.
Overall design: Refer to individual Series
| Accession | PRJNA352053; GEO: GSE89392 |
| Type | Umbrella project |
| Publications | Domaszewska T et al., "Concordant and discordant gene expression patterns in mouse strains identify best-fit animal model for human tuberculosis.", Sci Rep, 2017 Sep 21;7(1):12094 |
| Submission | Registration date: 1-Nov-2016
Kaufmann, Immunology, Max Planck Institute for Infection Biology |
| Relevance | Superseries |
Project Data:
| Resource Name | Number
of Links |
|---|
| Publications |
| PubMed | 1 |
| PMC | 1 |
| Other datasets |
| GEO DataSets | 3 |
GEO Data Details| Parameter | Value |
|---|
| Data volume, Spots | 5478412 |
| Data volume, Processed Mbytes | 133 |
| Data volume, Supplementary Mbytes | 1213 |
Novel data integration approaches identify concordant and discordant immune responses between mice and humans encompasses the following 2 sub-projects:
| Project Type | Number of Projects |
| Transcriptome or Gene expression | 2 |
BioProject
accession | Organism | Title |
|---|
| PRJNA352058 | Homo sapiens | Novel data integration approaches identify concordant and discordant immune responses between mice and humans [human cells] (Kaufmann, Immunology, Max...) | | PRJNA352057 | Mus musculus | Novel data integration approaches identify concordant and discordant immune responses between mice and humans [mouse] (Kaufmann, Immunology, Max...) |
|