New Results
Time-resolved single-cell RNAseq profiling identifies a novel Fabp5-expressing subpopulation of inflammatory myeloid cells in chronic spinal cord injury
View ORCID ProfileRegan Hamel, Luca Peruzzotti-Jametti, Katherine Ridley, Veronica Testa, Bryan Yu, David Rowitch, John C. Marioni, View ORCID ProfileStefano Pluchino
doi: https://doi.org/10.1101/2020.10.21.346635
Regan Hamel
1Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
Luca Peruzzotti-Jametti
1Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
Katherine Ridley
2Cambridge Stem Cell Institute, University of Cambridge, UK
Veronica Testa
1Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
Bryan Yu
1Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
David Rowitch
2Cambridge Stem Cell Institute, University of Cambridge, UK
John C. Marioni
3Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
4European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, UK
5Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
Stefano Pluchino
1Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
Posted October 22, 2020.
Time-resolved single-cell RNAseq profiling identifies a novel Fabp5-expressing subpopulation of inflammatory myeloid cells in chronic spinal cord injury
Regan Hamel, Luca Peruzzotti-Jametti, Katherine Ridley, Veronica Testa, Bryan Yu, David Rowitch, John C. Marioni, Stefano Pluchino
bioRxiv 2020.10.21.346635; doi: https://doi.org/10.1101/2020.10.21.346635
Time-resolved single-cell RNAseq profiling identifies a novel Fabp5-expressing subpopulation of inflammatory myeloid cells in chronic spinal cord injury
Regan Hamel, Luca Peruzzotti-Jametti, Katherine Ridley, Veronica Testa, Bryan Yu, David Rowitch, John C. Marioni, Stefano Pluchino
bioRxiv 2020.10.21.346635; doi: https://doi.org/10.1101/2020.10.21.346635
Subject Area
Subject Areas
- Biochemistry (11571)
- Bioengineering (8622)
- Bioinformatics (28868)
- Biophysics (14803)
- Cancer Biology (11941)
- Cell Biology (17168)
- Clinical Trials (138)
- Developmental Biology (9302)
- Ecology (14019)
- Epidemiology (2067)
- Evolutionary Biology (18128)
- Genetics (12145)
- Genomics (16616)
- Immunology (11707)
- Microbiology (27692)
- Molecular Biology (11387)
- Neuroscience (60096)
- Paleontology (447)
- Pathology (1847)
- Pharmacology and Toxicology (3184)
- Physiology (4878)
- Plant Biology (10278)
- Synthetic Biology (2849)
- Systems Biology (7289)
- Zoology (1619)