Author

B. C. Searle

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· 4 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 5 Approach:experimental assay· 4 Research Focus:benchmarking· 3 Research Focus:software / tool· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

M. J. MacCoss· 3 shared L. K. Pino· 2 shared A. Makarov· 1 shared A. N. Hoofnagle· 1 shared A. Pashkova· 1 shared A. Peterson· 1 shared A.-K. Pedersen· 1 shared B. Connolly· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersBiochemistry

M. J. MacCoss

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Author profile →

5 papers

Recent·Most cited

Evaluating the performance of the Astral mass analyzer for quantitative proteomics using data independent acquisition

L. R. Heil, N. E. Damoc, T. N. Arrey, A. Pashkova, E. Denisov, J. Petzoldt, A. Peterson, C. Hsu, B. C. Searle, N. Shulman, M. Riffle, B. Connolly, B. X. MacLean, P. M. Remes, M. Senko, , M. J. MacCoss

The paper evaluates the Astral mass analyzer's performance in quantitative proteomics, showing it quantifies 5 times more peptides per unit time than existing Orbitrap mass spectrometers and detects over 5,000 plasma proteins.

bioRxiv · Jun 3, 2023 · PreprintBiochemistry

Optimizing linear ion trap data independent acquisition towards single cell proteomics

T. Phlairaharn, Z. Ye, E. Krismer, A.-K. Pedersen, M. Pietzner, J. V. Olsen, E. M. Schoof, B. C. Searle

This study optimizes linear ion trap data independent acquisition for single-cell proteomics, showing quantitative accuracy down to 0.5 ng on column using LIT-based libraries from as few as 40 cells.

bioRxiv · Feb 21, 2023Biochemistry

Recurrent co-option and recombination of cytokine and three finger proteins in multiple reproductive tissues throughout salamander evolution

D. B. Wilburn, C. L. Kunkel, R. C. Feldhoff, P. W. Feldhoff, B. C. Searle

This study characterizes salamander gametes using transcriptomics and proteomics, revealing recurrent co-option and recombination of cytokine and three-finger proteins in reproductive tissues across evolution.

bioRxiv · Jan 4, 2022Evolutionary Biology

Matrix-matched calibration curves for assessing analytical figures of merit in quantitative proteomics

L. K. Pino, B. C. Searle, H.-Y. Yang, A. N. Hoofnagle, W. S. Noble, M. J. MacCoss

The paper demonstrates how to assess quantitative peptide measurements in proteomics using matrix-matched calibration curves and shows that more detected peptides do not guarantee more quantitatively measurable peptides.

bioRxiv · Jul 30, 2019Biochemistry

Comprehensive peptide quantification for data independent acquisition mass spectrometry using chromatogram libraries

B. C. Searle, L. K. Pino, J. D. Egertson, Y. S. Ting, R. T. Lawrence, J. Villen, M. J. MacCoss

The paper introduces a workflow and software tool, EncyclopeDIA, to improve peptide quantification in DIA mass spectrometry by using chromatogram libraries calibrated to specific instruments.

bioRxiv · Mar 7, 2018Biochemistry