New Results
Probe-Seq enables transcriptional profiling of specific cell types from heterogeneous tissue by RNA-based isolation
View ORCID ProfileRyoji Amamoto, Mauricio D. Garcia, Emma R. West, Jiho Choi, Sylvain W. Lapan, Elizabeth A. Lane, View ORCID ProfileNorbert Perrimon, View ORCID ProfileConstance L. Cepko
doi: https://doi.org/10.1101/735738
Ryoji Amamoto
1Department of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
Mauricio D. Garcia
1Department of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
Emma R. West
1Department of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
Jiho Choi
1Department of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
Sylvain W. Lapan
1Department of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
Elizabeth A. Lane
2Department of Genetics, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
Norbert Perrimon
2Department of Genetics, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
Constance L. Cepko
1Department of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
Article usage
Posted August 15, 2019.
Probe-Seq enables transcriptional profiling of specific cell types from heterogeneous tissue by RNA-based isolation
Ryoji Amamoto, Mauricio D. Garcia, Emma R. West, Jiho Choi, Sylvain W. Lapan, Elizabeth A. Lane, Norbert Perrimon, Constance L. Cepko
bioRxiv 735738; doi: https://doi.org/10.1101/735738
Probe-Seq enables transcriptional profiling of specific cell types from heterogeneous tissue by RNA-based isolation
Ryoji Amamoto, Mauricio D. Garcia, Emma R. West, Jiho Choi, Sylvain W. Lapan, Elizabeth A. Lane, Norbert Perrimon, Constance L. Cepko
bioRxiv 735738; doi: https://doi.org/10.1101/735738
Subject Area
Subject Areas
- Biochemistry (11745)
- Bioengineering (8751)
- Bioinformatics (29195)
- Biophysics (14971)
- Cancer Biology (12095)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14178)
- Epidemiology (2067)
- Evolutionary Biology (18306)
- Genetics (12245)
- Genomics (16801)
- Immunology (11867)
- Microbiology (28083)
- Molecular Biology (11592)
- Neuroscience (60965)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2885)
- Systems Biology (7339)
- Zoology (1651)