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Andrew F. Jarnuczak
Andrew F. Jarnuczak
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI)
Verified email at ebi.ac.uk
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Cited by
Cited by
Year
The PRIDE database and related tools and resources in 2019: improving support for quantification data
Y Perez-Riverol, A Csordas, J Bai, M Bernal-Llinares, S Hewapathirana, ...
Nucleic acids research 47 (D1), D442-D450, 2019
62862019
The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition
EW Deutsch, A Csordas, Z Sun, A Jarnuczak, Y Perez-Riverol, T Ternent, ...
Nucleic acids research, gkw936, 2016
8652016
The ProteomeXchange consortium in 2020: enabling ‘big data’approaches in proteomics
EW Deutsch, N Bandeira, V Sharma, Y Perez-Riverol, JJ Carver, ...
Nucleic acids research 48 (D1), D1145-D1152, 2020
6672020
Expression Atlas update: from tissues to single cells
I Papatheodorou, P Moreno, J Manning, AMP Fuentes, N George, ...
Nucleic acids research 48 (D1), D77-D83, 2020
4942020
Expression Atlas: gene and protein expression across multiple studies and organisms
I Papatheodorou, NA Fonseca, M Keays, YA Tang, E Barrera, W Bazant, ...
Nucleic acids research 46 (D1), D246-D251, 2018
3992018
The functional landscape of the human phosphoproteome
D Ochoa, AF Jarnuczak, C Viéitez, M Gehre, M Soucheray, A Mateus, ...
Nature biotechnology 38 (3), 365-373, 2020
3222020
Quantifying the impact of public omics data
Y Perez-Riverol, A Zorin, G Dass, MT Vu, P Xu, M Glont, JA Vizcaíno, ...
Nature communications 10 (1), 3512, 2019
982019
Analysis of intrinsic peptide detectability via integrated label-free and SRM-based absolute quantitative proteomics
AF Jarnuczak, DCH Lee, C Lawless, SW Holman, CE Eyers, SJ Hubbard
Journal of proteome research 15 (9), 2945-2959, 2016
502016
An integrated landscape of protein expression in human cancer
AF Jarnuczak, H Najgebauer, M Barzine, DJ Kundu, F Ghavidel, ...
Scientific data 8 (1), 115, 2021
472021
Using the PRIDE Database and ProteomeXchange for Submitting and Accessing Public Proteomics Datasets
AF Jarnuczak, JA Vizcaíno
Current Protocols in Bioinformatics, 13.31. 1-13.31. 12, 2017
472017
A quantitative and temporal map of proteostasis during heat shock in Saccharomyces cerevisiae
AF Jarnuczak, MG Albornoz, CE Eyers, CM Grant, SJ Hubbard
Molecular Omics 14 (1), 37-52, 2018
202018
Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae
AF Jarnuczak, CE Eyers, JM Schwartz, CM Grant, SJ Hubbard
Proteomics 15 (18), 3126-3139, 2015
152015
Characterization of the secretome, transcriptome, and proteome of human β cell line EndoC-βH1
M Ryaboshapkina, K Saitoski, GM Hamza, AF Jarnuczak, S Pechberty, ...
Molecular & Cellular Proteomics 21 (5), 2022
102022
Using deep learning to extrapolate protein expression measurements
MP Barzine, K Freivalds, JC Wright, M Opmanis, D Rituma, FZ Ghavidel, ...
Proteomics 20 (21-22), 2000009, 2020
102020
Proprotein convertase PCSK9 affects expression of key surface proteins in human pancreatic beta cells via intracellular and extracellular regulatory circuits
K Saitoski, M Ryaboshapkina, GM Hamza, AF Jarnuczak, C Berthault, ...
Journal of Biological Chemistry 298 (7), 2022
72022
Integrative omic profiling reveals unique hypoxia induced signatures in gastric cancer associated myofibroblasts
H Najgebauer, AF Jarnuczak, A Varro, CM Sanderson
Cancers 11 (2), 263, 2019
52019
Quantitative proteomics data in the public domain: challenges and opportunities
AF Jarnuczak, T Ternent, JA Vizcaíno
Mass Spectrometry of Proteins: Methods and Protocols, 217-235, 2019
52019
Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in Saccharomyces cerevisiae
CF Yap, M Garcia-Albornoz, AF Jarnuczak, SJ Hubbard, JM Schwartz
Processes 9 (1), 139, 2021
32021
PCSK9 affects expression of key surface proteins in human pancreatic beta cells through intra-and extracellular regulatory circuits
K Saitoski, M Ryaboshapkina, GM Hamza, AF Jarnuczak, C Berthault, ...
bioRxiv, 2021.09. 28.461975, 2021
12021
Proteomics of prostate cancer serum and plasma using low and high throughput approaches
GM Hamza, R Raghunathan, S Ashenden, B Zhang, E Miele, ...
Clinical Proteomics 21 (1), 21, 2024
2024
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