Cited by 89Ubiquitin and proteasome pathwaysEvolution and Genetic DynamicsProtein Structure and Dynamics

Determination of ubiquitin fitness landscapes under different chemical stresses in a classroom setting

Open access
Mavor, David, Barlow, Kyle, Thompson, Samuel, Barad, Benjamin A, Bonny, Alain R, Cario, Clinton L, Gaskins, Garrett, Liu, Zairan +33 more·2016·eLife

Published version of a preprint

Abstract

Ubiquitin is essential for eukaryotic life and varies in only 3 amino acid positions between yeast and humans. However, recent deep sequencing studies indicate that ubiquitin is highly tolerant to single mutations. We hypothesized that this tolerance would be reduced by chemically induced physiologic perturbations. To test this hypothesis, a class of first year UCSF graduate students employed deep mutational scanning to determine the fitness landscape of all possible single residue mutations in the presence of five different small molecule perturbations. These perturbations uncover 'shared sensitized positions' localized to areas around the hydrophobic patch and the C-terminus. In addition, we identified perturbation specific effects such as a sensitization of His68 in HU and a tolerance to mutation at Lys63 in DTT. Our data show how chemical stresses can reduce buffering effects in the ubiquitin proteasome system. Finally, this study demonstrates the potential of lab-based interdisciplinary graduate curriculum.

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  • By amplifying and sequencing barcodes from each bin and using a predetermined barcode-variant index, a functional score can be computed for each variant.

    “By amplifying barcodes and sequencing them from each bin, then using the predetermined barcode-variant index to determine the distribution of each variant across bins, a functional score can be computed for each variant (e.g. (59, 92, 93)).”

    From Massively parallel functional genomic assays in endocrinology: from promise to delivery (2026) · cites this paper as [93]

    The Results (Library construction) describe a barcode-to-allele lookup table used to count alleles by sequencing barcodes. Materials and methods (EMPIRIC-BC) describes calculating fitness scores from barcode counts, but the samples are competition time points, not bins; the claimed distribution across bins is not supported by this paper. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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Cited by

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Authors
Mavor, D., Barlow, K., Thompson, S., Barad, B. A., Bonny, A. R., Cario, C. L., Gaskins, G., Liu, Z., Deming, L., Axen, S. D., Caceres, E., Chen, W., Cuesta, A., Gate, R. E., Green, E. M., Hulce, K. R., Ji, W., Kenner, L. R., Mensa, B., Morinishi, L. S., Moss, S. M., Mravic, M., Muir, R. K., Niekamp, S., Nnadi, C. I., Palovcak, E., Poss, E. M., Ross, T. D., Salcedo, E. C., See, S. K., Subramaniam, M., Wong, A. W., Li, J., Thorn, K. S., Conchúir, S. Ó., Roscoe, B. P., Chow, E. D., DeRisi, J. L., Kortemme, T., Bolon, D. N., & Fraser, J. S.
Affiliations
  • University of California, San Francisco (US)
  • Howard Hughes Medical Institute (US)
  • Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
  • QB3 (US)
  • University of Massachusetts Chan Medical School (US)
Venue
eLife
Published
2016-04-25
Volume
5
ISSN
2050-084X (ISSN-L)
OpenAlex
W2344038501
Cited by
89
References
3
Citations by year
2026: 12 · 2025: 5 · 2024: 9 · 2023: 8 · 2022: 7 · 2021: 7 · 2020: 10 · 2019: 10 · 2018: 9 · 2017: 9 · 2016: 3
FWCI
4.41
Type
journal article
Language
en
Open access
Locations
  • eLife (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion, cc-by-nc-nd)
  • eScholarship@UMassChan (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Science Foundation (Graduate Research Fellowships, DBI-1564692)
  • University of California, San Francisco (Ralph H Kellogg Endowed Chancellor's Fellowship)
  • National Institute of General Medical Sciences (Initiative for Maximizing Student Development Program)
  • National Institutes of Health (GM117189, GM112844)
  • NIH Office of the Director (OD009180)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ubiquitin and proteasome pathways
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
Keywords
ubiquitin, fitness landscape, deep mutational scanning, chemical stress, small molecule perturbations, mutation tolerance, ubiquitin-proteasome system, hydrophobic patch, hygromycin B, DTT, buffering
MeSH terms
Biology, DNA Mutational Analysis, Humans, Saccharomyces cerevisiae, Stress, Physiological, Students, Universities, Ubiquitin, Proteasome Endopeptidase Complex, Mutant Proteins

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