Genetics of single-cell protein abundance variation in large yeast populations

Cited by (146)

Items 101–146 of 146

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    Anthony D. Long, Katherine M. Hanson, Stuart J. Macdonald · 2026 · Genetics
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    Paulo C. Carvalho, Nathalie Henriques Silva Canêdo, Priscila Ferreira de Aquino, Vera Lúcia Pannain, Maria da Glória, Clementino Fraga Filho · 2014 · Americanae (AECID Library)
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    Renato Hidaka Torres, Fabrício Almeida Araújo, Edian Franklin Franco De Los Santos, Debmalya Barh, Rommel Thiago Jucá Ramos, Marcus de Barros Braga · 2022 · Elsevier eBooks
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    Quang H. Nguyen, Hoang Vinh Tran, Huu Tien Nguyen, Phuong T. M. Le, Phi Le Nguyen, Binh Phu Nguyen · 2025 · Memetic Computing
  13. Molecular phenotypes that are causal to complex traits can have low heritability and are expected to have small influence
    Leopold Parts · 2014 · bioRxiv (Cold Spring Harbor Laboratory)
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    Frank Wolfgang Albert, Dale Muzzey, Jonathan S. Weissman, Leonid Kruglyak · 2014 · bioRxiv (Cold Spring Harbor Laboratory)
  15. Natural Genetic Variation Modifies Gene Expression Dynamics at the Protein Level During Pheromone Response in Saccharomyces cerevisiae
    Daniel A Pollard, Ciara K. Asamoto, Homa Rahnamoun, Austin S. Abendroth, Suzanne Rebecca Lee, Scott A. Rifkin · 2016 · bioRxiv (Cold Spring Harbor Laboratory)
  16. Complex polymorphic genetic architecture underlies trans -regulatory variation among strains of Saccharomyces cerevisiae
    Brian P. H. Metzger, Patricia Jean Wittkopp · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  17. A systems genetics approach reveals environment-dependent associations between SNPs, protein co-expression and drought-related traits in maize
    Mélisande Blein‐Nicolas, Sandra Silvia Negro, Thierry Balliau, Claude Welcker, Llorenç Cabrera‐Bosquet, Stéphane Nicolas, Alain Charcosset, Michel Zivy · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  18. OMICS – Mass Spectrometry-Based Proteomics in Systems Biology Research
    Peter Blattmann, Ruedi H. Aebersold · 2022 · Elsevier eBooks
  19. The Genetic Landscape of Transcriptional Networks in a Combined Haploid/Diploid Plant System
    Jukka‐Pekka Verta, Christian R. Landry, John J. MacKay · 2014 · bioRxiv (Cold Spring Harbor Laboratory)
  20. Functional Analysis of Genomic Variation and Impact on Molecular and Higher Order Phenotypes
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    Matthew D. Edwards · 2016 · DSpace@MIT (Massachusetts Institute of Technology)
  22. Fitness Tradeoffs, Bimodality, and the Genetics of Natural Variation in Glucose-Galactose Sensing Across Saccharomyces Cerevisiae
    Jue Wang · 2017 · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
  23. Genetics of gene expression in conifers
    Jukka‐Pekka Verta · 2014 · Corpus Université Laval (Université Laval)
  24. A simple mass-action model predicts genome-wide protein timecourses from mRNA trajectories during a dynamic response in two strains of Saccharomyces cerevisiae
    Sidney Kuo, Jarrett D. Egertson, Gennifer E. Merrihew, Michael J. MacCoss, Daniel A Pollard, Scott A. Rifkin · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  25. A natural variant of the essential host gene MMS21 restricts the parasitic 2-micron plasmid in Saccharomyces cerevisiae
    Michelle Hays, Janet M. Young, Paula Levan, Harmit Singh Malik · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  26. Massively parallel identification of causal variants underlying gene expression differences in a yeast cross
    Kaushik Renganaath, Rocky Cheung, Laura Day, Sriam Kosuri, L. Kruglyak, F. Albert · 2020 · bioRxiv
  27. Investigating the Quantitative Trait Loci Contributing to Individual Variation in Drug Response
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  28. Additional file 3 of Multi-omics analysis identifies drivers of protein phosphorylation
    Tian Zhang, Gregory R. Keele, Isabela Gerdes Gyuricza, Matthew J. Vincent, Catherine Brunton, Timothy A. Bell, Pablo Hock, Ginger D. Shaw, Steven C. Munger, Fernando Pardo‐Manuel de Villena et al. · 2023 · Figshare
  29. Additional file 4 of Multi-omics analysis identifies drivers of protein phosphorylation
    Tian Zhang, Gregory R. Keele, Isabela Gerdes Gyuricza, Matthew J. Vincent, Catherine Brunton, Timothy A. Bell, Pablo Hock, Ginger D. Shaw, Steven C. Munger, Fernando Pardo‐Manuel de Villena et al. · 2023 · Figshare
  30. Additional file 6 of Multi-omics analysis identifies drivers of protein phosphorylation
    Tian Zhang, Gregory R. Keele, Isabela Gerdes Gyuricza, Matthew J. Vincent, Catherine Brunton, Timothy A. Bell, Pablo Hock, Ginger D. Shaw, Steven C. Munger, Fernando Pardo‐Manuel de Villena et al. · 2023 · Figshare
  31. Additional file 5 of Multi-omics analysis identifies drivers of protein phosphorylation
    Tian Zhang, Gregory R. Keele, Isabela Gerdes Gyuricza, Matthew J. Vincent, Catherine Brunton, Timothy A. Bell, Pablo Hock, Ginger D. Shaw, Steven C. Munger, Fernando Pardo‐Manuel de Villena et al. · 2023 · Figshare
  32. Additional file 2 of Multi-omics analysis identifies drivers of protein phosphorylation
    Tian Zhang, Gregory R. Keele, Isabela Gerdes Gyuricza, Matthew J. Vincent, Catherine Brunton, Timothy A. Bell, Pablo Hock, Ginger D. Shaw, Steven C. Munger, Fernando Pardo‐Manuel de Villena et al. · 2023 · Figshare
  33. Highly replicated experiments studying complex genotypes using nested DNA barcodes
    Molly Monge, Simone M. Giovanetti, Apoorva Ravishankar, Meru J. Sadhu · 2025 · G3 Genes Genomes Genetics
  34. Additional file 1 of Divergent patterns of selection on metabolite levels and gene expression
    Alexander Kern, Grace Xiaolu Yang, Neil M. Khosla, Roy Moh Lik Ang, Michael P. Snyder, Hunter B. Fraser · 2021 · Figshare
  35. Additional file 5 of Divergent patterns of selection on metabolite levels and gene expression
    Alexander Kern, Grace Xiaolu Yang, Neil M. Khosla, Roy Moh Lik Ang, Michael P. Snyder, Hunter B. Fraser · 2021 · Figshare
  36. Additional file 4 of Divergent patterns of selection on metabolite levels and gene expression
    Alexander Kern, Grace Xiaolu Yang, Neil M. Khosla, Roy Moh Lik Ang, Michael P. Snyder, Hunter B. Fraser · 2021 · Figshare
  37. Additional file 1 of Multi-omics analysis identifies drivers of protein phosphorylation
    Zhang, Tian, Gregory R. Keele, Gyuricza, Isabela Gerdes, Matthew J. Vincent, Catherine Brunton, Timothy A. Bell, Pablo Hock, Ginger D. Shaw, Steven C. Munger, de Villena, Fernando Pardo-Manuel et al. · 2023 · Figshare
  38. Additional file 7 of Multi-omics analysis identifies drivers of protein phosphorylation
    Zhang, Tian, Gregory R. Keele, Gyuricza, Isabela Gerdes, Matthew J. Vincent, Catherine Brunton, Timothy A. Bell, Pablo Hock, Ginger D. Shaw, Steven C. Munger, de Villena, Fernando Pardo-Manuel et al. · 2023 · Figshare
  39. Additional file 3 of Divergent patterns of selection on metabolite levels and gene expression
    Alexander Kern, Grace Xiaolu Yang, Neil M. Khosla, Roy Moh Lik Ang, Michael P. Snyder, Hunter B. Fraser · 2021 · Figshare
  40. Additional file 2 of Divergent patterns of selection on metabolite levels and gene expression
    Alexander Kern, Grace Xiaolu Yang, Neil M. Khosla, Roy Moh Lik Ang, Michael P. Snyder, Hunter B. Fraser · 2021 · Figshare
  41. High-resolution genotype-free mapping of genetic variation with CRI-SPA-Map
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  42. Elucidating the genetic basis of variation in populations by large scale phenomics and genomics
    Johan Hallin · 2018 · theses.fr (ABES)
  43. Étude des bases physiologiques et génétiques de la mortalité des levures induite par les carences nutritionnelles en fermentation alcoolique œnologique
    Camille Duc · 2017 · theses.fr (ABES)
  44. Species-wide survey of transcript and protein abundance variation in yeast
    Élie Teyssonnière · 2023 · theses.fr (ABES)
  45. High concordance between genetic effects on mRNA and protein abundance
    Krisna Van Dyke, Matthew A Feraru, Frank Wolfgang Albert · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  46. Microscale bulk segregant analysis
    Giancarlo N. Bruni, Lauren Crisman, Leslie A Alamo, Heriberto Marquez, James Boocock, Joshua S. Bloom, Leonid Kruglyak · 2026 · bioRxiv (Cold Spring Harbor Laboratory)