|
Status |
Public on May 05, 2021 |
Title |
Multi-resolution deconvolution of spatial transcriptomics data reveals continuous patterns of inflammation |
Organism |
Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing
|
Summary |
This SuperSeries is composed of the SubSeries listed below.
|
|
|
Overall design |
Refer to individual Series
|
|
|
Citation(s) |
35449415 |
|
Submission date |
May 03, 2021 |
Last update date |
Jan 06, 2023 |
Contact name |
Ido Amit |
E-mail(s) |
ido.amit@weizmann.ac.il
|
Phone |
972-8-9343338
|
Organization name |
Weizmann Institute of Science
|
Department |
Immunology
|
Street address |
234 Herzl st.
|
City |
Rehovot |
ZIP/Postal code |
760001 |
Country |
Israel |
|
|
Platforms (1) |
GPL24247 |
Illumina NovaSeq 6000 (Mus musculus) |
|
Samples (34)
|
|
This SuperSeries is composed of the following SubSeries: |
GSE173773 |
Multi-resolution deconvolution of spatial transcriptomics data reveals continuous patterns of inflammation (scMARS-Seq) |
GSE173774 |
Multi-resolution deconvolution of spatial transcriptomics data reveals continuous patterns of inflammation (scRNA-Seq) |
GSE173776 |
Multi-resolution deconvolution of spatial transcriptomics data reveals continuous patterns of inflammation (Spatial scRNA-Seq) |
|
Relations |
BioProject |
PRJNA726995 |