Author

B. J. van Meer

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cell Biology· 2 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Organism:human· 3 Assay:CRISPR screen· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

C. Grandela· 3 shared C. L. Mummery· 3 shared K. O. Brandao· 2 shared L. G. J. Tertoolen· 2 shared L. Sala· 2 shared M. P. H. Mol· 2 shared R. P. Davis· 2 shared A. Blanch-Asensio· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersCell Biology

C. Grandela

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cell BiologybioRxivDec 8, 2021

STRAIGHT-IN: A platform for high-throughput targeting of large DNA payloads into human pluripotent stem cells

C. Grandela, A. Blanch-Asensio, K. O. Brandao…·R. P. Davis

STRAIGHT-IN enables high-throughput insertion of large DNA payloads into hiPSCs by combining recombinases and CRISPR/Cas9 for precise genomic editing.

DOI 10.1016/j.crmeth.2022.100300

humanCRISPR screen

𝕏 PostBluesky

Cell BiologyStem Cell ReportsPeer-reviewedNov 1, 2020

Isogenic sets of hiPSC-CMs harboring KCNH2 mutations capture location-related phenotypic differences

K. O. Brandao, L. van den Brink, D. C. Miller…·R. P. Davis

The paper uses hiPSC-CMs with KCNH2 mutations to show phenotypic differences based on mutation location, supporting their use in risk stratification for LQT2.

DOI 10.1016/j.stemcr.2020.10.005

humanelectrophysiology

𝕏 PostBluesky

PhysiologybioRxivJul 8, 2017

Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo

L. Sala, B. J. van Meer, L. G. J. Tertoolen…·F. L. Burton

MUSCLEMOTION quantifies cardiac contraction in vitro and in vivo, providing reliable pharmacological and disease phenotype data across multiple models.

DOI 10.1161/circresaha.117.312067

zebrafishhuman

𝕏 PostBluesky