Tsega Desta

ORCID: 0000-0003-4477-3446
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About
Contact & Profiles
Research Areas
  • Single-cell and spatial transcriptomics
  • Cell Image Analysis Techniques
  • Gene expression and cancer classification
  • Neural dynamics and brain function
  • Neuroscience and Neuropharmacology Research
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Mitochondrial Function and Pathology
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetics and Neurodevelopmental Disorders
  • Congenital heart defects research
  • Epigenetics and DNA Methylation
  • Advanced Fluorescence Microscopy Techniques

Allen Institute for Brain Science
2006-2022

Allen Institute
2006-2022

Ed S. Lein Michael Hawrylycz Nancy Ao Mikael Ayres Amy Bensinger and 95 more Amy Bernard Andrew F. Boe Mark S. Boguski Kevin S. Brockway Emi J. Byrnes Lin Chen Li Chen Tsuey-Ming Chen Mei Chi Chin Jimmy Chong Brian E. Crook Aneta Czaplinska Chinh Dang Suvro Datta Nick Dee Aimee L. Desaki Tsega Desta Ellen Diep Tim Dolbeare Matthew J. Donelan Hong‐Wei Dong Jennifer Dougherty Ben J. Duncan Amanda Ebbert Gregor Eichele Lili K. Estin Casey Faber Benjamin A.C. Facer R.Theodore Fields Shanna R. Fischer Tim Fliss Cliff Frensley Sabrina N. Gates Katie Glattfelder Kevin R. Halverson Matthew R. Hart John G. Hohmann Maureen P. Howell Darren P. Jeung Rebecca A. Johnson Paul A. Karr Reena Kawal Jolene Kidney Rachel H. Knapik Chihchau L. Kuan James H. Lake Annabel R. Laramee Kirk Larsen Christopher Lau Tracy Lemon Agnes JH Liang Ying Liu Lon T. Luong Jesse Michaels Judith J. Morgan Rebecca J. Morgan Marty Mortrud Nerick F. Mosqueda Lydia Ng Randy Ng Geralyn J. Orta Caroline C. Overly Tu H. Pak Sheana Parry Dev S. Pathak Owen C. Pearson Ralph B. Puchalski Zackery L. Riley Hannah R. Rockett Stephen A. Rowland Joshua J. Royall Marcos J. Ruiz Nadia R. Sarno Katherine Schaffnit Nadiya V. Shapovalova Taz Sivisay Clifford R. Slaughterbeck Simón C. Smith Kimberly A. Smith Bryan I. Smith Andy J. Sodt Nick N. Stewart Kenda-Ruth Stumpf Susan M. Sunkin Madhavi Sutram Angelene Tam Carey D. Teemer Christina Thaller Carol L. Thompson Lee R. Varnam Axel Visel Ray M. Whitlock Paul Wohnoutka Crissa K. Wolkey Victoria Wong

10.1038/nature05453 article EN Nature 2006-12-06

10.1016/j.cell.2020.09.057 article EN publisher-specific-oa Cell 2020-11-01

10.1038/s41593-019-0417-0 article EN Nature Neuroscience 2019-06-17

10.1038/nature18637 article EN Nature 2016-07-01

Abstract The neocortex is disproportionately expanded in human compared with mouse 1,2 , both its total volume relative to subcortical structures and the proportion occupied by supragranular layers composed of neurons that selectively make connections within other telencephalic structures. Single-cell transcriptomic analyses show an increased diversity glutamatergic neuron types pronounced gradients as a function cortical depth 3 . Here, probe functional anatomical correlates this diversity,...

10.1038/s41586-021-03813-8 article EN cc-by Nature 2021-10-06

Abstract Neurons are frequently classified into distinct groups or cell types on the basis of structural, physiological, genetic attributes. To better constrain definition neuronal types, we characterized transcriptomes and intrinsic physiological properties over 3,700 GABAergic mouse visual cortical neurons reconstructed local morphologies 350 those neurons. We found that most transcriptomic (t-types) occupy specific laminar positions within cortex, many t-types exhibit consistent...

10.1101/2020.02.03.932244 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-02-04

The neocortex is disproportionately expanded in human compared to mouse, both its total volume relative subcortical structures and the proportion occupied by supragranular layers that selectively make connections within cortex other telencephalic structures. Single-cell transcriptomic analyses of mouse show an increased diversity glutamatergic neuron types pronounced gradients as a function cortical depth. To probe functional anatomical correlates this diversity, we describe robust Patch-seq...

10.1101/2020.03.31.018820 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-04-02

Considerable progress has been made in understanding variations gene sequence and expression level associated with phenotype, yet how genetic diversity translates into complex phenotypic differences remains poorly understood. Here, we examine the relationship between background spatial patterns of across seven strains mice, providing most extensive cellular-resolution comparative analysis mammalian brain to date. Using comprehensive brainwide anatomic coverage (more than 200 regions),...

10.1073/pnas.1003732107 article EN Proceedings of the National Academy of Sciences 2010-10-18
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