Author

M. A. Turner

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 Cancer Biology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

H. G. Garcia· 2 shared J. Liu· 2 shared Y. J. Kim· 2 shared A. J. Nunn· 1 shared A. Yildiz· 1 shared C. Benner· 1 shared D. Hansen· 1 shared E. Eck· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersBiophysics

H. G. Garcia

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Activation of the TRIF pathway and downstream targets results in the development of precancerous lesions during infection with Helicobacter.

P. Bali, I. Lozano-Pope, J. Hernandez, M. V. Estrada, M. Corr, M. A. Turner, M. Bouvet, C. Benner, M. Obonyo

This study shows that activation of the TRIF pathway and downstream IFN-I signaling promotes H. felis-induced gastric disease progression and is linked to poor survival in gastric cancer.

bioRxiv · Jun 4, 2023 · PreprintCancer Biology

Predictive modeling reveals that higher-order cooperativity drives transcriptional repression in a synthetic developmental enhancer

Y. J. Kim, K. Rhee, J. Liu, P. Jeammet, M. A. Turner, S. Small, H. G. Garcia

The paper uses thermodynamic models to show that higher-order cooperativity between transcription factors drives transcriptional repression in a synthetic enhancer.

bioRxiv · Jul 28, 2021Biophysics

Real-time single-cell characterizationof the eukaryotic transcription cyclereveals correlations between RNAinitiation, elongation, and cleavage

J. Liu, D. Hansen, E. Eck, Y. J. Kim, M. A. Turner, S. Alamos, H. G. Garcia

This study uses Bayesian inference to analyze real-time single-cell transcription dynamics in fruit flies, revealing correlations between RNA initiation, elongation, and cleavage.

bioRxiv · Aug 29, 2020 · PreprintBiophysics

Kinesin-1 and dynein use distinct mechanisms to bypass obstacles

L. S. Ferro, S. Can, M. A. Turner, M. M. Elshenawy, A. Yildiz

This study shows that dynein can bypass obstacles on microtubules, while single kinesin motors stall, but teams of kinesins can bypass obstacles as effectively as dynein teams.

bioRxiv · Apr 30, 2019Biophysics

Drug prescription pattern in European neonatal units

I. Mesek, G. Nellis, J. Lass, T. Metsvaht, H. Varendi, H. Visk, M. A. Turner, A. J. Nunn, J. Duncan, I. Lutsar

This study describes drug use in European neonatal units and finds that gestational age and geographic region influence prescription patterns.

bioRxiv · Nov 5, 2018 · PreprintPharmacology & Toxicology