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Jase Gehring

Scientist
I love to explore biology with new technologies. I work at Arcadia to develop new experiments, generate large datasets, and understand complex systems like cells and proteins.
Berkeley, CA0000-0002-3894-9495
All Pubs (5)Attributed Pubs (4)
in Community Arcadia Science

Designing genome-wide MERFISH probes for understudied species

by Prachee Avasthi and Jase Gehring
PA
Published: May 31, 2022
Researchers studying any organism with genomic data can follow this simple walkthrough to create sets of barcoded probes for the multiplexed FISH technique called MERFISH. We’re sharing interactive code notebooks that can be adapted to design barcoded FISH probes for any species.
in Community Arcadia Science

Creating reproducible workflows for complex computational pipelines

by Feridun Mert Celebi, Elizabeth A. McDaniel, and Taylor Reiter
SC
+2
Published: Mar 07, 2023
A workflow orchestration framework can streamline repeatable tasks and make workflows broadly usable. From several options, we chose Nextflow due to the ease of deploying across platforms, vibrant nf-core community, and ability to manage and monitor workflows with Nextflow Tower.
Connections
Supplements (1): 
Nextflow template v1.1.0 - GitHub
in Community Arcadia Science

Gotta catch ‘em all: Agar microchambers for high-throughput single-cell live imaging

by Prachee Avasthi, Tara Essock-Burns, Galo Garcia III, Jase Gehring, David Q. Matus, David G. Mets, and Ryan York
PA
TE
+3
Published: May 03, 2023
Constraining motile microorganisms for live imaging often requires costly microfluidics or optical traps to keep them in view. We used patterned stamps and agar to make versatile, inexpensive “microchambers” and offer a way to predict the right chamber size for a given organism.
Connections
Supplements (2): 
Code v2.0 - GitHub
•
Protocol - Molding microchambers in agar with PDMS stamps for live imaging - protocols.io
in Community Arcadia Science

Comparing gene expression across species based on protein structure

by Prachee Avasthi, Jase Gehring, Austin H. Patton, Dennis A. Sun, and Ryan York
PA
KP
+2
Published: Sep 29, 2023
We investigated protein structure predictions as an alternative to protein sequence homology for comparing single-cell RNA-seq data across species.
Connections
Supplements (2): 
Code v0.0.1 - GitHub
•
Related data - Zenodo
in Community Arcadia Science

ProteinCartography: Comparing proteins with structure-based maps for interactive exploration

by Prachee Avasthi, Brae M. Bigge, Feridun Mert Celebi, Jase Gehring, Erin McGeever, Atanas Radkov, and Dennis A. Sun
PA
BB
RD
+12
Published: Sep 29, 2023
The ProteinCartography pipeline identifies proteins related to a query protein using sequence- and structure-based searches, compares all protein structures, and creates a navigable map that can be used to look at protein relationships and make hypotheses about function.
Connections
Supplements (2): 
ProteinCartography v0.4.0-alpha - GitHub
•
Data - Zenodo
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