Author

L. Reiter

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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Biochemistry· 3 Cancer Biology· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 4 Organism:human· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

R. Bruderer· 3 shared T. Gandhi· 2 shared A. Hogrebe· 1 shared A. J. Lawton· 1 shared A. Martinez del Val· 1 shared A. Rolink· 1 shared B. Schilling· 1 shared B. Wollscheid· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersCancer Biology

R. Bruderer

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Biomarker Candidates for Tumors Identified from Deep-Profiled Plasma Stem Predominantly from the Low Abundant Area

M. Tognetti, K. Sklodowski, S. Mueller, D. Kamber, J. Muntel, R. Bruderer, L. Reiter

The paper develops a deep plasma profiling method to identify biomarker candidates for cancers, finding that low-abundance proteins are critical for accurate classification.

bioRxiv · Oct 5, 2021 · PreprintCancer Biology

Comprehensive Profiling of Plasma Exosomes Using Data Independent Acquisitions, New Tools for Aging Cohort Studies

S. K. Patel, R. Bruderer, N. Basisty, J. Bons, P.-Y. Desprez, F. Neri, L. Reiter, J. Campisi, B. Schilling

The paper develops a method to isolate and analyze plasma exosomes, identifying age-related protein and miRNA differences in an aging cohort.

bioRxiv · Feb 27, 2021 · PreprintCell Biology

Quantifying dynamic protein acetylation using quantitative stoichiometry

J. Baeza, A. J. Lawton, J. Fan, M. J. Smallegan, I. Leinert, T. Gandhi, O. M. Bernhardt, L. Reiter, J. M. Denu

The paper develops and validates a method to quantify acetylation stoichiometry, revealing dynamic changes in response to serum stimulation across cellular compartments and pathways.

bioRxiv · Feb 19, 2020Biochemistry

Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition (DIA) without the need for spectral libraries

D. B. Bekker-Jensen, O. Bernhardt, A. Hogrebe, A. Martinez del Val, L. Verbeke, T. Gandhi, C. D. Kelstrup, L. Reiter, J. V. Olsen

This paper introduces a DIA-based phosphoproteomics method that achieves high sensitivity and reproducibility without spectral libraries, demonstrating its scalability in analyzing kinase inhibitor effects on EGF signaling.

bioRxiv · Jun 3, 2019Biochemistry

De novo Classification of Mouse B Cell Types using Surfaceome Proteotype Maps

M. van Oostrum, M. Mueller, F. Klein, R. Bruderer, H. Zhang, P. Pedrioli, L. Reiter, P. Tsapogas, A. Rolink, B. Wollscheid

The paper develops autoCSC, a miniaturized surfaceome mapping technology, to classify mouse B cell types and identify developmental subpopulations.

bioRxiv · Apr 26, 2019Biochemistry