Protocol for comparing ribosomal levels in single bacterial cells at different growth stages using rRNA-FISH

Ciolli Mattioli, Camilla; Avraham, Roi

doi:10.1016/j.xpro.2024.103137

STAR Protocols

2024

DOI: 10.1016/j.xpro.2024.103137

|View full text |Cite

Protocol for comparing ribosomal levels in single bacterial cells at different growth stages using rRNA-FISH

Camilla Ciolli Mattioli,

Roi Avraham

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Preprint1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Single-cell heterogeneity in ribosome content and the consequences for the growth laws

Brettner,

Geiler-Samerotte

2024

Preprint

View full text Add to dashboard Cite

Previous work has suggested that the number of ribosomes in a cell is optimized to maximize cell growth given nutrient availability. The resulting correlation between ribosome number and growth rate, called a 'growth law', appears to be independent of which nutrient limits growth rate and is apparent in many organisms. Growth laws have had a powerful impact on many biological disciplines, having fueled predictions about how organisms evolve to maximize their growth and models about how cells regulate their growth. Problematically, the growth law is rarely studied at the single-cell level. While populations of fast-growing cells tend to have more ribosomes than populations of slow-growing cells, it is unclear whether individual cells tightly regulate their ribosome content to match their environment. Here we use recent ground-breaking single-cell RNA sequencing techniques to study the growth law at the single cell level in two different microbes, S. cerevisiae (a single-celled yeast and eukaryote) and B. subtilis (a bacterium and prokaryote). In both species, we find enormous variation in the ribosomal content of single cells that is not predictive of growth rate. Fast-growing populations of cells include cells showing transcriptional signatures of slow growth and stress, as do some cells with the highest ribosome content we survey. These results demonstrate that single-cell ribosome levels are not finely tuned to match population growth rates or nutrient availability and encourage expansion of models that predict how growth rates evolve or are regulated to consider single-cell heterogeneity.

show abstract

Single-cell heterogeneity in ribosome content and the consequences for the growth laws

Brettner,

Geiler-Samerotte

2024

Preprint

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Protocol for comparing ribosomal levels in single bacterial cells at different growth stages using rRNA-FISH

Cited by 1 publication

References 15 publications

Single-cell heterogeneity in ribosome content and the consequences for the growth laws

Single-cell heterogeneity in ribosome content and the consequences for the growth laws

Contact Info

Product

Resources

About