Author

Karen Verboom

Ghent UniversityORCID 0000-0002-8534-2995Unclaimed 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

Organism:human· 3 Research Focus:benchmarking· 2 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Frank SpelemaniD· 3 shared Jo VandesompeleiD· 3 shared Dries RombautiD· 2 shared Jasper AnckaertiD· 2 shared Kaat DurinckiD· 2 shared Nurten YigitiD· 2 shared Alemu Takele AssefaiD· 1 shared Celine EveraertiD· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 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 papersMolecular Biology

Frank SpelemanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Comprehensive benchmarking of single cell RNA sequencing technologies for characterizing cellular perturbation

Karen Verboom, Alemu Takele Assefa, Nurten Yigit, Jasper Anckaert, Niels Vandamme, Dries Rombaut, Yvan Saeys, Olivier Thas, Frank Speleman, Kaat Durinck, Jo Vandesompele

This study benchmarks single cell RNA-seq technologies to assess their ability to detect transcriptional changes in NGP neuroblastoma cells after nutlin-3 treatment, finding heterogeneity in response not captured by bulk RNA-seq.

bioRxiv · Nov 25, 2020 · PreprintMolecular Biology

A comprehensive dataset of TLX1 positive ALL-SIL lymphoblasts and primary T-cell acute lymphoblastic leukemias

Karen Verboom, Wouter Van Loocke, Emmanuelle Clappier, Jean Soulier, Jo Vandesompele, Frank Speleman, Kaat Durinck

The paper presents a comprehensive dataset of TLX1 positive ALL-SIL lymphoblasts and primary T-ALL leukemias using polyA[+] and total RNA sequencing, ATAC sequencing, and ChIP sequencing, validated for quality and biological relevance.

bioRxiv · Jul 8, 2019 · PreprintMolecular Biology

SMARTer single cell total RNA sequencing

Karen Verboom, Celine Everaert, Nathalie Bolduc, Kenneth J. Livak, Nurten Yigit, Dries Rombaut, Jasper Anckaert, Simon Ming‐Yuen Lee, Morten Trillingsgaard Venø, Jørgen Kjems, Frank Speleman, Pieter Mestdagh, Jo Vandesompele

The paper introduces a novel single cell strand-specific total RNA sequencing method that overcomes limitations of existing techniques and detects more genes, including non-polyadenylated ones.

Nucleic Acids Research · Jun 4, 2019Peer-reviewedGenomics