Author

Florian Caiment

Maastricht UniversityORCID 0000-0002-3325-0466Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Genetics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Approach:statistical model· 3 Approach:experimental assay· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Amanda J. KiliaaniD· 1 shared Anna M. KipiD· 1 shared Barry Jutten· 1 shared Bernd Timmermann· 1 shared Carlotta Branca· 1 shared Conor R. Bryan· 1 shared Daniel J. CarvalhoiD· 1 shared Daria Majcher· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperNeuroscience

Amanda J. KiliaanORCID

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4 papers

Recent·Most cited

NeuroscienceJournal of Cerebral Blood Flow & MetabolismPeer-reviewedJun 12, 2026

Downregulation of Trpv4 and Klf2 in brain microvessels is associated with the progression of neurovascular dysfunction and cognitive impairment in a model of heart failure with preserved ejection fraction.

Sara M.P. Lambrichts, Laura van der Taelen, Irene Pastor…·Sébastien Foulquier

This study shows that reduced Trpv4 and Klf2 in brain microvessels correlates with neurovascular dysfunction and cognitive decline in an HFpEF rat model.

2 citations

ratbulk RNA-seq

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BioengineeringbioRxivPreprintMay 11, 2026

Microphysiological Flow Batteries For Dynamic EDC Screening Of mESC-derived Thyroid Organoids

Anna M. Kip, Daniel J. Carvalho, Marta Nazzari…·Lorenzo Moroni

The paper introduces a thyroid-on-chip platform using mouse embryonic stem cell-derived thyroid organoids to dynamically screen endocrine disrupting chemicals (EDCs) and identify molecular signatures of thyroid disruption.

DOI 10.64898/2026.05.07.722520

mouseproteomics

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BioinformaticsbioRxivPreprintJun 20, 2022

Quantifying the number of translatable transcripts through the use of OMICs involved in post-transcriptional regulation.

Juan Ochoteco Asensio, Jos C. S. Kleinjans, Florian Caiment

The paper develops a model to estimate translatable transcripts by incorporating miRNA and circRNA data, improving the correlation between transcriptome and proteome expression levels in a compound-exposed dataset.

1 citation

bulk RNA-seqproteomics

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GeneticsbioRxivPreprintJul 13, 2021

Long-read transcriptome sequencing analysis with IsoTools

Matthias Lienhard, Twan van den Beucken, Bernd Timmermann…·Ralf Herwig

The paper introduces IsoTools, a Python package for analyzing long-read transcriptome data, showing it improves alternative and differential splicing analysis compared to short-read RNA-Seq.

2 citations

humanlong-read sequencing

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