Author

Mahtab Avijgan

Karolinska InstitutetORCID 0000-0003-2970-0783Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Organism:mouse· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Phillip T. NewtoniD· 3 shared Amal NazaraliyeviD· 2 shared Joakim LundebergiD· 2 shared Klas BlomgreniD· 2 shared Lars S SavendahliD· 2 shared Leire Alonso GaliciaiD· 2 shared Ludvig LarssoniD· 2 shared Reza MirzazadehiD· 2 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersMolecular Biology

Phillip T. NewtonORCID

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3 papers

Recent·Most cited

Molecular BiologybioRxivPreprintAug 25, 2026

Acute activation of autophagy enables growth plate regeneration following radiation-induced injury.

Yashar Mehrbani Azar, Amal Nazaraliyev, Mahtab Avijgan…·Phillip T. Newton

The paper shows that autophagy activation helps regenerate growth plates after radiation injury, offering a potential therapeutic target.

DOI 10.64898/2026.08.24.746001

mouseexperimental assay

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Molecular BiologyBone ResearchPeer-reviewedAug 4, 2026

Human growth plates house resting zone sub-populations with features of quiescent stem cells

Mahtab Avijgan, Ana Pérez Ruiz, Leire Alonso Galicia…·Phillip T. Newton

This study characterizes gene expression in human growth plates, identifying novel markers and sub-populations of resting zone chondrocytes with features of quiescent stem cells.

1 citation

humanspatial transcriptomics

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GenomicsNature CommunicationsPeer-reviewedJan 31, 2023

Spatially resolved transcriptomic profiling of degraded and challenging fresh frozen samples

Reza Mirzazadeh, Žaneta Andrusivová, Ludvig Larsson…·Joakim Lundeberg

The paper introduces RRST, a spatial transcriptomics workflow that improves mRNA recovery from low-quality fresh frozen samples, demonstrating its effectiveness across multiple tissue types.

65 citationstop 2%

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