» Authors » Brian C Searle

Brian C Searle

Explore the profile of Brian C Searle including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 54
Citations 1716
Followers 0
Related Specialties
Top 10 Co-Authors
Published In
Affiliations
Soon will be listed here.
Recent Articles
11.
Heil L, Damoc E, Arrey T, Pashkova A, Denisov E, Petzoldt J, et al.
J Proteome Res . 2023 Sep; 22(10):3290-3300. PMID: 37683181
We evaluate the quantitative performance of the newly released Asymmetric Track Lossless (Astral) analyzer. Using data-independent acquisition, the Thermo Scientific Orbitrap Astral mass spectrometer quantifies 5 times more peptides per...
12.
Searle B, Chien A, Koller A, Hawke D, Herren A, Kim J, et al.
Mol Cell Proteomics . 2023 Sep; 22(10):100639. PMID: 37657519
Recent advances in methodology have made phosphopeptide analysis a tractable problem for many proteomics researchers. There are now a wide variety of robust and accessible enrichment strategies to generate phosphoproteomes...
13.
Kirkpatrick J, Stemmer P, Searle B, Herring L, Martin L, Midha M, et al.
J Biomol Tech . 2023 Jul; 34(2). PMID: 37435391
Despite the advantages of fewer missing values by collecting fragment ion data on all analytes in the sample as well as the potential for deeper coverage, the adoption of data-independent...
14.
Allen C, Meinl R, Paez J, Searle B, Just S, Pino L, et al.
J Proteome Res . 2023 Jul; 22(8):2743-2749. PMID: 37417926
Data-independent acquisition (DIA) mass spectrometry methods provide systematic and comprehensive quantification of the proteome; yet, relatively few open-source tools are available to analyze DIA proteomics experiments. Fewer still are tools...
15.
Wilburn D, Shannon A, Spicer V, Richards A, Yeung D, Swaney D, et al.
bioRxiv . 2023 Jul; PMID: 37398395
In proteomics experiments, peptide retention time (RT) is an orthogonal property to fragmentation when assessing detection confidence. Advances in deep learning enable accurate RT prediction for any peptide from sequence...
16.
Heil L, Damoc E, Arrey T, Pashkova A, Denisov E, Petzoldt J, et al.
bioRxiv . 2023 Jul; PMID: 37398334
We evaluate the quantitative performance of the newly released Asymmetric Track Lossless (Astral) analyzer. Using data independent acquisition, the Thermo Scientific™ Orbitrap™ Astral™ mass spectrometer quantifies 5 times more peptides...
17.
Phlairaharn T, Ye Z, Krismer E, Pedersen A, Pietzner M, Olsen J, et al.
Anal Chem . 2023 Jun; 95(26):9881-9891. PMID: 37338819
A linear ion trap (LIT) is an affordable, robust mass spectrometer that provides fast scanning speed and high sensitivity, where its primary disadvantage is inferior mass accuracy compared to more...
18.
Merrihew G, Park J, Plubell D, Searle B, Keene C, Larson E, et al.
Sci Data . 2023 Apr; 10(1):206. PMID: 37059743
Alzheimer's disease (AD) is a looming public health disaster with limited interventions. Alzheimer's is a complex disease that can present with or without causative mutations and can be accompanied by...
19.
Phlairaharn T, Ye Z, Krismer E, Pedersen A, Pietzner M, Olsen J, et al.
bioRxiv . 2023 Mar; PMID: 36865114
A linear ion trap (LIT) is an affordable, robust mass spectrometer that proves fast scanning speed and high sensitivity, where its primary disadvantage is inferior mass accuracy compared to more...
20.
Searle B, Shannon A, Wilburn D
J Proteome Res . 2023 Jan; 22(2):482-490. PMID: 36695531
Spectrum library searching is a powerful alternative to database searching for data dependent acquisition experiments, but has been historically limited to identifying previously observed peptides in libraries. Here we present...