Keyword search (4,163 papers available)

"Kuzmin E" Authored 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 Single-cell imaging of protein dynamics of paralogs reveals sources of gene retention Dandage R; Papkov M; Greco BM; Pereira V; Fishman D; Friesen H; Wang K; Styles EB; Kraus O; Grys B; Zapata G; Lefebvre F; Bourque G; Boone C; Andrews BJ; Parts L; Kuzmin E; 40585364
BIOLOGY
3 Benchmarking macaque brain gene expression for horizontal and vertical translation Luppi AI; Liu ZQ; Hansen JY; Cofre R; Niu M; Kuzmin E; Froudist-Walsh S; Palomero-Gallagher N; Misic B; 40020056
BIOLOGY
4 Dynamics of karyotype evolution Kuzmin E; Baker TM; Van Loo P; Glass L; 38717409
CSFG
5 Evolution of chromosome-arm aberrations in breast cancer through genetic network rewiring Kuzmin E; Baker TM; Lesluyes T; Monlong J; Abe KT; Coelho PP; Schwartz M; Del Corpo J; Zou D; Morin G; Pacis A; Yang Y; Martinez C; Barber J; Kuasne H; Li R; Bourgey M; Fortier AM; Davison PG; Omeroglu A; Guiot MC; Morris Q; Kleinman CL; Huang S; Gingras AC; Ragoussis J; Bourque G; Van Loo P; Park M; 38517886
BIOLOGY
6 Trans-regulatory variant network contributes to missing heritability Pereira V; Kuzmin E; 38216282
BIOLOGY
7 Single-cell imaging of protein dynamics of paralogs reveals mechanisms of gene retention Dandage R; Papkov M; Greco BM; Fishman D; Friesen H; Wang K; Styles E; Kraus O; Grys B; Boone C; Andrews B; Parts L; Kuzmin E; 38045359
BIOLOGY
8 Correspondence between gene expression and neurotransmitter receptor and transporter density in the human brain Hansen JY; Markello RD; Tuominen L; Nørgaard M; Kuzmin E; Palomero-Gallagher N; Dagher A; Misic B; 36209794
CSBN

 

Title:Dynamics of karyotype evolution
Authors:Kuzmin EBaker TMVan Loo PGlass L
Link:https://pubmed.ncbi.nlm.nih.gov/38717409/
DOI:10.1063/5.0206011
Publication:Chaos (Woodbury, N.Y.)
Keywords:
PMID:38717409 Category: Date Added:2024-05-08
Dept Affiliation: CSFG
1 Department of Biology, Centre for Applied Synthetic Biology, Centre for Structural and Functional Genomics, Concordia University, Montreal, Quebec H4B 1R6, Canada.
2 Department of Human Genetics, McGill University, Montreal, Quebec H3A 0C7, Canada.
3 Rosalind and Morris Goodman Cancer Institute, Montreal, Quebec H3A 1A3, Canada.
4 The Francis Crick Institute, London NW1 1AT, United Kingdom.
5 Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
6 Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
7 Department of Physiology, McGill University, 3655 Promenade Sir William Osler, Montreal, Quebec H3G 1Y6, Canada.

Description:

In the evolution of species, the karyotype changes with a timescale of tens to hundreds of thousand years. In the development of cancer, the karyotype often is modified in cancerous cells over the lifetime of an individual. Characterizing these changes and understanding the mechanisms leading to them has been of interest in a broad range of disciplines including evolution, cytogenetics, and cancer genetics. A central issue relates to the relative roles of random vs deterministic mechanisms in shaping the changes. Although it is possible that all changes result from random events followed by selection, many results point to other non-random factors that play a role in karyotype evolution. In cancer, chromosomal instability leads to characteristic changes in the karyotype, in which different individuals with a specific type of cancer display similar changes in karyotype structure over time. Statistical analyses of chromosome lengths in different species indicate that the length distribution of chromosomes is not consistent with models in which the lengths of chromosomes are random or evolve solely by simple random processes. A better understanding of the mechanisms underlying karyotype evolution should enable the development of quantitative theoretical models that combine the random and deterministic processes that can be compared to experimental determinations of the karyotype in diverse settings.





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