Keyword search (4,163 papers available)

"Screening" Keyword-tagged Publications:

Title Authors PubMed ID
1 PARPAL: PARalog Protein Redistribution using Abundance and Localization in Yeast Database Greco BM; Zapata G; Dandage R; Papkov M; Pereira V; Lefebvre F; Bourque G; Parts L; Kuzmin E; 40580499
BIOLOGY
2 Imaging flow cytometry-based cellular screening elucidates pathophysiology in individuals with Variants of Uncertain Significance Muffels IJJ; Waterham HR; D' Alessandro G; Zagnoli-Vieira G; Sacher M; Lefeber DJ; Van der Vinne C; Roifman CM; Gassen KLI; Rehmann H; Van Haaften-Visser DY; Nieuwenhuis ESS; Jackson SP; Fuchs SA; Wijk F; van Hasselt P; 39920830
BIOLOGY
3 Automated abdominal aortic calcification and major adverse cardiovascular events in people undergoing osteoporosis screening: the Manitoba Bone Mineral Density Registry Smith C; Sim M; Ilyas Z; Gilani SZ; Suter D; Reid S; Monchka BA; Jozani MJ; Figtree G; Schousboe JT; Lewis JR; Leslie WD; 39749990
ENCS
4 Validation and Reliability of the Dyslexia Adult Checklist in Screening for Dyslexia Stark Z; Elalouf K; Soldano V; Franzen L; Johnson AP; 39660384
PSYCHOLOGY
5 Exploring the Qualitative Experiences of Administering and Participating in Remote Research via Telephone Using the Montreal Cognitive Assessment-Blind: Cross-Sectional Study of Older Adults Dumassais S; Grewal KS; Aubin G; O' Connell M; Phillips NA; Wittich W; 39546346
PSYCHOLOGY
6 Are MEDLINE searches sufficient for systematic reviews and meta-analyses of the diagnostic accuracy of depression screening tools? A review of meta-analyses Rice DB; Kloda LA; Levis B; Qi B; Kingsland E; Thombs BD; 27411746
LIBRARY
7 Reporting quality in abstracts of meta-analyses of depression screening tool accuracy: a review of systematic reviews and meta-analyses Rice DB; Kloda LA; Shrier I; Thombs BD; 27864250
LIBRARY
8 Depression Screening and Health Outcomes in Children and Adolescents: A Systematic Review Roseman M; Saadat N; Riehm KE; Kloda LA; Boruff J; Ickowicz A; Baltzer F; Katz LY; Patten SB; Rousseau C; Thombs BD; 28851234
LIBRARY
9 Simultaneous automated ascertainment of prevalent vertebral fracture and abdominal aortic calcification in clinical practice: role in fracture risk assessment Schousboe JT; Lewis JR; Monchka BA; Reid SB; Davidson MJ; Kimelman D; Jozani MJ; Smith C; Sim M; Gilani SZ; Suter D; Leslie WD; 38699950
ENCS
10 Screening for parent and child ADHD in urban pediatric primary care: pilot implementation and stakeholder perspectives Lui JHL; Danko CM; Triece T; Bennett IM; Marschall D; Lorenzo NE; Stein MA; Chronis-Tuscano A; 37442955
PSYCHOLOGY
11 A "biphasic glycosyltransferase high-throughput screen" identifies novel anthraquinone glycosides in the diversification of phenolic natural products Mohideen FI; Kwan DH; 36682498
CHEMBIOCHEM
12 Microfluidics for long-term single-cell time-lapse microscopy: Advances and applications Allard P; Papazotos F; Potvin-Trottier L; 36312536
BIOLOGY
13 Transparency and completeness of reporting of depression screening tool accuracy studies: A meta-research review of adherence to the Standards for Reporting of Diagnostic Accuracy Studies statement Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; 36047034
PSYCHOLOGY
14 Perfluoroalkyl and polyfluoroalkyl substances (PFASs) in groundwater: current understandings and challenges to overcome Zhao Z; Li J; Zhang X; Wang L; Wang J; Lin T; 35593984
CHEMBIOCHEM
15 Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021 Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; 35362161
PSYCHOLOGY
16 Inclusion of currently diagnosed or treated individuals in studies of depression screening tool accuracy: a meta-research review of studies published in 2018-2021 Nassar EL; Levis B; Rice DB; Booij L; Benedetti A; Thombs BD; 35334411
PSYCHOLOGY
17 Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence Mahri M; Shen N; Berrizbeitia F; Rodan R; Daer A; Faigan M; Taqi D; Wu KY; Ahmadi M; Ducret M; Emami E; Tamimi F; 33181361
CONCORDIA
18 Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis Wu Y; Levis B; Riehm KE; Saadat N; Levis AW; Azar M; Rice DB; Boruff J; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; McMillan D; Patten SB; Shrier I; Ziegelstein RC; Akena DH; Arroll B; Ayalon L; Baradaran HR; Baron M; Bombardier CH; Butterworth P; Carter G; Chagas MH; Chan JCN; Cholera R; Conwell Y; de Man-van Ginkel JM; Fann JR; Fischer FH; Fung D; Gelaye B; Goodyear-Smith F; Greeno CG; Hall BJ; Harrison PA; Härter M; Hegerl U; Hides L; Hobfoll SE; Hudson M; Hyphantis T; Inagaki M; Jetté N; Khamseh ME; Kiely KM; Kwan Y; Lamers F; Liu SI; Lotrakul M; Loureiro SR; Löwe B; McGuire A; Mohd-Sidik S; Munhoz TN; Muramatsu K; Osório FL; Patel V; Pence BW; Persoons P; Picardi A; Reuter K; Rooney AG; Santos IS; Shaaban J; Sidebottom A; Simning A; Stafford L; Sung S; Tan PLL; Turner A; van Weert HC; White J; Whooley MA; Winkley K; Yamada M; Benedetti A; Thombs BD; 31298180
LIBRARY
19 Virtual screening, docking, and dynamics of potential new inhibitors of dihydrofolate reductase from Yersinia pestis. Bastos Lda C, de Souza FR, Guimarães AP, Sirouspour M, Cuya Guizado TR, Forgione P, Ramalho TC, França TC 26494420
CHEMISTRY
20 Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses. Thombs BD, Benedetti A, Kloda LA, Levis B, Azar M, Riehm KE, Saadat N, Cuijpers P, Gilbody S, Ioannidis JP, McMillan D, Patten SB, Shrier I, Steele RJ, Ziegelstein RC, Loiselle CG, Henry M, Ismail Z, Mitchell N, Tonelli M 27075844
LIBRARY
21 Evolutionary Adaptation to Generate Mutants. de Vries RP, Lubbers R, Patyshakuliyeva A, Wiebenga A, Benoit-Gelber I 29876815
BIOLOGY

 

Title:PARPAL: PARalog Protein Redistribution using Abundance and Localization in Yeast Database
Authors:Greco BMZapata GDandage RPapkov MPereira VLefebvre FBourque GParts LKuzmin E
Link:https://pubmed.ncbi.nlm.nih.gov/40580499/
DOI:10.1093/g3journal/jkaf148
Publication:G3 (Bethesda, Md.)
Keywords:Saccharomyces cerevisiaebudding yeastdeep neural networkduplicated geneshigh-content screeningparalogsphenomicsprotein abundanceprotein subcellular localization
PMID:40580499 Category: Date Added:2025-07-01
Dept Affiliation: BIOLOGY
1 Department of Biology, Concordia University, 7141 Sherbrooke St. W., Montreal, QC, H4B 1R6, Canada.
2 Centre for Applied Synthetic Biology, Centre for Structural and Functional Genomics, Concordia University, 7141 Sherbrooke St. W., Montreal, QC, H4B 1R6, Canada.
3 Canadian Centre for Computational Genomics (C3G), McGill University, 1010 Sherbrooke St. W. Suite 1800, Montreal, QC, H3A 2R7, Canada.
4 Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, 740 Dr Penfield Ave, Montreal, QC, H3A 0G1, Canada.
5 Institute of Computer Science, University of Tartu, Narva mnt 18, Tartu, 51009, Estonia.
6 Department of Human Genetics, McGill University, 3640 University, Room W 315 D, Montreal, QC, H3A 0C7, Canada.
7 Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK.
8 Rosalind & Morris Goodman Cancer Institute, McGill University, 1160 Pine Ave W, Montreal, QC, H3A 1A3, Canada.

Description:

Whole-genome duplication (WGD) events are common across various organisms; however, the retention and evolution of WGD paralogs is not fully understood. Quantitative measure of protein redistribution in response to the deletion of their WGD paralog provides insight into sources of gene retention. Here, we describe PARPAL (PARalog Protein Redistribution using Abundance and Localization in Yeast), a web database that houses results of high-content screening and deep learning neural network analysis of the redistribution of 164 proteins reflecting how their subcellular localization and protein abundance change in response to their paralog deletion in the budding yeast, Saccharomyces cerevisiae. We interrogated a total of 82 paralog pairs in two genetic backgrounds for a total of ~3,500 micrographs of ~460,000 cells. For example, Skn7-Hms2 exhibited dependent redistribution and Cue1-Cue4 showed compensatory redistribution response. PARPAL also links to other studies on trigenic interactions, protein-protein interactions and protein abundance. PARPAL is available at https://parpal.c3g-app.sd4h.ca and is a valuable resource for the yeast community interested in understanding the retention and evolution of paralogs and can help researchers to investigate protein dynamics of paralogs in other organisms.





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