Paul Wohnoutka

ORCID: 0000-0002-4458-623X
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About
Contact & Profiles
Research Areas
  • Single-cell and spatial transcriptomics
  • Cell Image Analysis Techniques
  • Gene expression and cancer classification
  • Bioinformatics and Genomic Networks
  • Advanced Neuroimaging Techniques and Applications
  • Genetics and Neurodevelopmental Disorders
  • Neurogenesis and neuroplasticity mechanisms
  • Epigenetics and DNA Methylation
  • Photoreceptor and optogenetics research
  • Microtubule and mitosis dynamics
  • Neural dynamics and brain function
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Functional Brain Connectivity Studies
  • Congenital heart defects research

Allen Institute
2006-2018

Allen Institute for Brain Science
2006-2018

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

Glioblastoma is an aggressive brain tumor that carries a poor prognosis. The tumor's molecular and cellular landscapes are complex, their relationships to histologic features routinely used for diagnosis unclear. We present the Ivy Atlas, anatomically based transcriptional atlas of human glioblastoma aligns individual with genomic alterations gene expression patterns, thus assigning information most important morphologic hallmarks tumor. its clinical database freely accessible online data...

10.1126/science.aaf2666 article EN Science 2018-05-10

10.1038/nature18637 article EN Nature 2016-07-01

ABSTRACT Detailed anatomical understanding of the human brain is essential for unraveling its functional architecture, yet current reference atlases have major limitations such as lack whole‐brain coverage, relatively low image resolution, and sparse structural annotation. We present first digital atlas to incorporate neuroimaging, high‐resolution histology, chemoarchitecture across a complete adult female brain, consisting magnetic resonance imaging (MRI), diffusion‐weighted (DWI), 1,356...

10.1002/cne.24080 article EN cc-by-nc-nd The Journal of Comparative Neurology 2016-07-15

ABSTRACT Detailed anatomical understanding of the human brain is essential for unraveling its functional architecture, yet current reference atlases have major limitations such as lack whole‐brain coverage, relatively low image resolution, and sparse structural annotation. We present first digital atlas to incorporate neuroimaging, high‐resolution histology, chemoarchitecture across a complete adult female brain, consisting magnetic resonance imaging (MRI), diffusion‐weighted (DWI), 1,356...

10.1002/cne.24097 article EN The Journal of Comparative Neurology 2016-09-15

The Allen Brain Atlas (ABA) is a genomic scale, web-based 3D atlas of expression more than 20,000 genes in the mouse brain visualized using colorimetric situ hybridization. Completing ABA required imaging 1 million individual sections at cellular resolution. To facilitate these needs, high throughput, fully scalable, automated microscopy platform capable 3000 daily was developed. This system runs 24 h per day and 7 days week with minimal operator supervision. comprises barcode scanner,...

10.1016/j.jala.2007.07.003 article EN other-oa JALA Journal of the Association for Laboratory Automation 2007-12-01
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