Author

Julie Lorent

Science for Life Laboratory

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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Bioinformatics· 1 Molecular Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:multiome· 1

Frequent Co-Authors

Ola Segnestam LarssoniD· 3 shared Christian OertliniD· 2 shared Ivan TopisirovićiD· 2 shared Laìa MasvidaliD· 2 shared Luc FuriciD· 2 shared Vincent van HoefiD· 2 shared Baila Samreen· 1 shared Carl MurieiD· 1 shared

Activity by Year

2017-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersSystems Biology

Ola Segnestam LarssonORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Estrogen receptor alpha controls gene expression via translational offsetting

Julie Lorent, Eric P. Kusnadi, Vincent van Hoef, Richard J. Rebello, Matthew Leibovitch, Johannes Ristau, Shan Chen, Mitchell G. Lawrence, Krzysztof J. Szkop, Baila Samreen, Preetika Balanathan, Francesca A. Rapino, Pierre Close, Patricia E. Bukczynska, Karin Scharmann, , Luc Furic

This study shows estrogen receptor alpha (ER) regulates gene expression by coordinating transcription with translational offsetting, maintaining protein levels despite changes in mRNA abundance.

The EMBO Journal · Sep 26, 2019Peer-reviewedSystems Biology

Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq

Christian Oertlin, Julie Lorent, Valentina Gandin, Carl Murie, Laìa Masvidal, Marie Cargnello, Luc Furic, Ivan Topisirović, Ola Segnestam Larsson

The paper introduces anota2seq, an algorithm for analyzing translational efficiency from ribosome or polysome profiling data, revealing translational buffering and mTOR-dependent gene regulation.

Nucleic Acids Research · Mar 28, 2019Peer-reviewedBioinformatics

Polysome-profiling in small tissue samples

Shuo Liang, Hermano Martins Bellato, Julie Lorent, Fernanda C. S. Lupinacci, Christian Oertlin, Vincent van Hoef, Victor P. Andrade, Martín Roffé, Laìa Masvidal, Glaucia N. M. Hajj, Ola Segnestam Larsson

This paper presents an optimized non-linear sucrose gradient method for polysome-profiling that reduces sample handling and enables translatome analysis from small tissue samples and primary cells.

Nucleic Acids Research · Oct 10, 2017Peer-reviewedMolecular Biology