Author

Malindrie Dharmaratne

The University of QueenslandORCID 0000-0002-1694-6496Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

Atefeh Taherian FardiD· 3 shared Jessica C. MariD· 3 shared Cecilia Liliana Gomez InclaniD· 2 shared Ernst Jurgen WolvetangiD· 2 shared Giovanni PietrograndeiD· 2 shared Julio AguadoiD· 2 shared Alberto Anastacio AmarillaiD· 1 shared Alejandro Rojas‐FernándeziD· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

3 shared papersBioinformatics

Atefeh Taherian FardORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

NeuroscienceNature AgingPeer-reviewedNov 13, 2023

Senolytic therapy alleviates physiological human brain aging and COVID-19 neuropathology.

Julio Aguado, Alberto Anastacio Amarilla, Atefeh Taherian Fard…·Ernst Jurgen Wolvetang

This study shows senolytic drugs reduce brain aging and COVID-19-related neuropathology by targeting senescent cells in human brain organoids and mice.

80 citationstop 1%

humanmouse

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedDec 28, 2022

scShapes: A statistical framework for identifying distribution shapes in single-cell RNA-sequencing data

Malindrie Dharmaratne, Ameya S Kulkarni, Atefeh Taherian Fard, Jessica C. Mar

scShapes identifies distribution shape differences in scRNA-seq data, detecting genes with distinct expression patterns beyond mean shifts.

10 citations

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 24, 2022

Deconstructing replicative senescence heterogeneity of human mesenchymal stem cells at single cell resolution reveals therapeutically targetable senescent cell sub-populations

Atefeh Taherian Fard, Hannah C. Leeson, Julio Aguado…·Jessica C. Mar

This study identifies three distinct senescent subpopulations in human mesenchymal stem cells using single-cell RNA sequencing, revealing potential drug targets for senescence delay.

3 citations

humanscRNA-seq

𝕏 PostBluesky