Molecular BiologybioRxivPreprint
Author
Sharan Janjuha
University of ZurichORCID 0000-0002-5910-2912Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2018-2023 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 20 mutual co-author linksFocal author (center)Selected co-authorORCID co-authorUnlinked name
Curved chords = mutual co-authorship6 papers
Recent·Most cited
- GeneticsbioRxivPreprint
Prime editing of the beta-1 adrenoceptor in the brain reprograms mouse behavior
Desirée Böck, Lisa Tidecks, Maria Wilhelm…·Gerald Schwank
This study uses prime editing in mice brains to introduce a mutation in the Adrb1 gene, leading to increased activity and exploratory behavior.
4 citations - Developmental BiologyDevelopmentPeer-reviewed
A single-cell atlas of de novo β-cell regeneration reveals the contribution of hybrid β/δ cells to diabetes recovery in zebrafish
Sumeet Pal Singh, Prateek Chawla, Alisa Hnatiuk…·Nikolay Ninov
This study maps β-cell regeneration in zebrafish using single-cell transcriptomics, identifying hybrid β/δ cells as key contributors to diabetes recovery.
- GenomicsNature CommunicationsPeer-reviewed
Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens
Kim Fabiano Marquart, Ahmed Allam, Sharan Janjuha…·Gerald Schwank
This paper develops BE-DICT, a deep learning model trained on high-throughput screens to predict base editing outcomes with high accuracy.
102 citationstop 3% - BioinformaticsScientific ReportsPeer-reviewed
Machine learning based classification of cells into chronological stages using single-cell transcriptomics.
Sumeet Pal Singh, Sharan Janjuha, Samata Chaudhuri…·John E. Reid
This paper introduces GERAS, a machine learning framework that classifies single-cell transcriptomes into chronological stages with high accuracy and identifies aging-related factors in zebrafish and human pancreatic cells.
- Systems BiologyNature BiotechnologyPeer-reviewed
Massively parallel single cell lineage tracing using CRISPR/Cas9 induced genetic scars
Bastiaan Spanjaard, Bo Hu, Nina Mitic…·Jan Philipp Junker
The paper introduces a method to trace cell lineages and profile transcriptomes in thousands of single cells using CRISPR/Cas9 and scRNA-seq in zebrafish.