Results 41 to 50 of about 566 (103)

A state-of-the-art machine learning pipeline for the analysis of spatial proteomics data

, 2014
Organelle proteomics, or spatial proteomics, is the systematic study of protein sub-cellular localisation. Here, we focus on high-throughput quantitative mass spectrometry-based techniques such as LOPIT and PCP and demonstrate a robust and sound analysis
Laurent Gatto (637959)
core   +1 more source

Supplemental Dataset 1

, 2019
Supplemental Dataset 1: Resident organelle proteomes from LOPIT experiments (Fig. 2, S1) after SVM-based classification. Proteins are identified by their AGI accession code for the TAIR database.
Kathryn S. Lilley (73966), Lawrence, Nicola, Christopher J Petzold (6920744), William G. T. Willats (167347), Johannes Griss (1297803), McFarlane, Heather E., Sousa, Mirta M. L., Heazelwood, Joshua L., Vidal-Melgosa, Silvia, Heather E. McFarlane (1390699), Silvia Vidal-Melgosa (6920741), Griss, Johannes, Willats, William G. T., Joshua L. Heazelwood (6920747), Salemi, Michelle, Harriet T. Parsons (501913), Nicola Lawrence (2830196), Michelle Salemi (2890613), Lilley, Kathryn S., Butler, Richard, Petzold, Christopher J, Richard Butler (133975), Stevens, Tim J., Tim J. Stevens (5577866), Mirta M. L. Sousa (279893), Parsons, Harriet T.   +25 more
core   +1 more source

Principal components analysis plot (PCA) of the mouse stem cell dataset.

, 2016
Proteins are clustered according to their density gradient distributions. Each point on the PCA plot represents one protein. Filled circles are the original protein markers used in classification, hollow circles show new locations as assigned by the SVM ...
Kathryn S. Lilley (73966), Claire M. Mulvey (3170352), Oliver Kohlbacher (11422), Laurent Gatto (1307346), Andy Christoforou (1784647), Lisa M. Breckels (1307337), Matthew W. B. Trotter (3170358), Arnoud Groen (2509081), David Wojnar (3170355), Sean B. Holden (3170361)   +9 more
core   +1 more source

Analysis of the Interactome of the <i>Toxoplasma gondii</i> Tgj1 HSP40 Chaperone. [PDF]

Proteomes, 2023
Munera López J, Alonso AM, Figueras MJ, Saldarriaga Cartagena AM, Hortua Triana MA, Diambra L, Vanagas L, Deng B, Moreno SNJ, Angel SO.   +9 more
europepmc   +1 more source

The Second Asia-Oceania Human Proteome Organization (AOHUPO) Online Education Series on the Renaissance of Clinical Proteomics: Biomarkers, Imaging and Therapeutics. [PDF]

Mol Cell Proteomics, 2022
Low TY, Chen YJ, Ishihama Y, Chung MCM, Cordwell S, Poon TCW, Kwon HJ.   +6 more
europepmc   +1 more source

Global Proteomics Indicates Subcellular-Specific Anti-Ferroptotic Responses to Ionizing Radiation. [PDF]

Mol Cell Proteomics
Christopher JA, Breckels LM, Crook OM, Vazquez-Chantada M, Barratt D, Lilley KS.   +5 more
europepmc   +2 more sources

Semi-supervised Bayesian integration of multiple spatial proteomics datasets. [PDF]

PLoS Comput Biol
Coleman S, Breckels L, Waller RF, Lilley KS, Wallace C, Crook OM, Kirk PDW.   +6 more
europepmc   +2 more sources

Proteomics Update and Perspectives from the Proteomics in Cell Biology and Disease Mechanisms Conference. [PDF]

Chembiochem, 2023
Kotliar IB.
europepmc   +1 more source

Operation of a TCA cycle subnetwork in the mammalian nucleus. [PDF]

Sci Adv, 2022
Kafkia E, Andres-Pons A, Ganter K, Seiler M, Smith TS, Andrejeva A, Jouhten P, Pereira F, Pereira F, Franco C, Kuroshchenkova A, Leone S, Sawarkar R, Boston R, Thaventhiran J, Zaugg JB, Lilley KS, Lancrin C, Beck M, Patil KR.   +19 more
europepmc   +1 more source

Dynamic subcellular proteomics identifies regulators of adipocyte insulin action. [PDF]

Nat Commun
Conway OJ, Christopher JA, Breckels LM, Li H, Menon D, Birla M, Hawkins BL, Liang L, Patel S, Koumanov F, Gershlick DC, Savage DB, Weekes MP, Lilley KS, Fazakerley DJ.   +14 more
europepmc   +1 more source