Author

Tessa Y. S. Le Large

Amsterdam University Medical CentersORCID 0000-0002-4273-7217Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Approach:experimental assay· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Connie R. JiméneziD· 3 shared Sander R. PiersmaiD· 3 shared Thang V. PhamiD· 3 shared Franziska BöttgeriD· 2 shared Irene V. BijnsdorpiD· 2 shared Jaco C. Knol· 2 shared Richard R. de HaasiD· 2 shared Tim SchelfhorstiD· 2 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersCancer Biology

Connie R. JiménezORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintDec 19, 2023

Large pan-cancer cell screen coupled to (phospho-) proteomics underscores high-dose vitamin C as a potent anti-cancer agent

Andrea Vallés‐Martí, Franziska Böttger, Elysia Yau…·Connie R. Jiménez

This study evaluates high-dose vitamin C's anti-cancer effects across 51 cancer cell lines, finding high sensitivity and proteomic changes linked to cell cycle and immune pathways.

2 citations

humanproteomics

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BioinformaticsGenomics Proteomics & BioinformaticsPeer-reviewedApr 1, 2020

DPHL: A pan-human protein mass spectrometry library for robust biomarker discovery using Data-Independent Acquisition and Parallel Reaction Monitoring

Tiansheng Zhu, Yi Zhu, Yue Xuan…·Tiannan Guo

The paper introduces DPHL, a pan-human protein mass spectrometry library built using DIA and PRM, and demonstrates its utility in identifying differentially expressed proteins in prostate cancer and DLBCL.

94 citationstop 2%

humanproteomics

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Systems BiologyMolecular Systems BiologyPeer-reviewedApr 1, 2019

INKA, an integrative data analysis pipeline for phosphoproteomic inference of active phosphokinases

Robin Beekhof, Carolien van Alphen, Alex A. Henneman…·Connie R. Jiménez

INKA identifies active phosphokinases in cancer by integrating kinase and substrate phosphorylation data from phosphoproteomics.

97 citationstop 3%

humanproteomics

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