Author

Alva Annett

Uppsala UniversityORCID 0000-0002-3258-4296Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Aeshah Alluli· 1 shared Amanda RaineiD· 1 shared Anders LundmarkiD· 1 shared Ann-Christin Wiman· 1 shared Carol X.‐Q. CheniD· 1 shared Claes WadeliusiD· 1 shared Claudia BerginiD· 1 shared Claudia L. KleinmaniD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Aeshah Alluli

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

USP15 REGULATES NEUROINFLAMMATION AND DRIVES PATHOGENESIS IN SYNUCLEINOPATHIES

Nassima Fodil, Esther del Cid‐Pellitero, Valerio E. C. Piscopo, Julia Xiao Xuan Luo, Michael Wong, Jean-Frédéric Olivier, Aeshah Alluli, Irina Shlaifer, Zhipeng You, Carol X.‐Q. Chen, Nathalia Aprahamian, Yoonjeong Cha, Etienne Colette, Jonas J. Mayo, Alva Annett, , Philippe Gros

This study shows that USP15 deletion in astrocytes and microglia reduces neuroinflammation and slows synucleinopathy progression in mice, with human data linking USP15 expression to Parkinson's disease risk.

bioRxiv · Sep 12, 2026 · PreprintNeuroscience

Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Sara A. Yones, Alva Annett, Patricia Stoll, Klev Diamanti, Linda Holmfeldt, Fredrik Barrenäs, Jennifer R. S. Meadows, Jan Komorowski

The paper uses rule-based machine learning to identify gene expression subtypes in paediatric SLE, revealing gene networks associated with disease activity and immune pathways.

Scientific Reports · May 6, 2022Peer-reviewedBioinformatics

scSPLAT, a scalable plate-based protocol for single cell WGBS library preparation

Amanda Raine, Anders Lundmark, Alva Annett, Ann-Christin Wiman, Marco Cavalli, Claes Wadelius, Claudia Bergin, Jessica Nordlund

scSPLAT improves single-cell WGBS library preparation by increasing scalability and read alignment rates compared to existing methods.

Scientific Reports · Apr 6, 2022Peer-reviewedGenomics