Author

H. H. Mattingly

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Organism:E. coli· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Organism:bacteria (other)· 1 Research Focus:development & morphogenesis· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

T. Emonet· 4 shared B. B. Machta· 1 shared C. He· 1 shared D. C. Vural· 1 shared J. Long· 1 shared J. S. Marvin· 1 shared K. Kamino· 1 shared L. L. Looger· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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4 shared papersBiophysics

T. Emonet

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Direct measurement of dynamic attractant gradients reveals breakdown of the Patlak-Keller-Segel chemotaxis model

T. V. Phan, H. H. Mattingly, L. Vo, J. S. Marvin, L. L. Looger, T. Emonet

The paper measures dynamic attractant gradients in bacteria and shows the Patlak-Keller-Segel model fails at high cell densities, proposing an improved model that accounts for cell density effects.

bioRxiv · Jun 1, 2023Biophysics

A mechanism for migrating bacterial populations to non-genetically adapt to new environments

H. H. Mattingly, T. Emonet

The paper shows that bacterial populations non-genetically adapt their phenotype composition during migration to enhance growth in new environments.

bioRxiv · Sep 21, 2021Cell Biology

E. coli chemotaxis is information-limited

H. H. Mattingly, K. Kamino, B. B. Machta, T. Emonet

This study quantifies how information limits E. coli chemotaxis performance, finding that cells operate near theoretical efficiency despite using less than 1 bit of information.

bioRxiv · Feb 22, 2021Biophysics

Spatial Self-Organization Resolves Conflicts Between Individuality and Collective Migration

X. Fu, S. Kato, J. Long, H. H. Mattingly, C. He, D. C. Vural, S. W. Zucker, T. Emonet

The paper studies how clonal Escherichia coli cells maintain collective migration despite individual differences in chemotactic ability through spontaneous spatial sorting within the moving band.

bioRxiv · Apr 5, 2018Biophysics