M. L. Schmidt

Antigenic cartography using variant-specific hamster sera reveals substantial antigenic variation among Omicron subvariants

The paper uses hamster sera from variant-specific infections to map antigenic differences among SARS-CoV-2 variants, revealing significant antigenic variation among Omicron subvariants.

Post-entry, spike-dependent replication advantage of B.1.1.7 and B.1.617.2 over B.1 SARS-CoV-2 in an ACE2-deficient human lung cell line

The paper shows that B.1.1.7 and B.1.617.2 SARS-CoV-2 variants have a replication advantage over B.1 in ACE2-deficient lung cells, suggesting reliance on alternative cellular factors.

When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers

This paper calculates Grunbaum's dimensionless numbers for 33 consumer-resource interactions across scales, finding that none are fully described by mean-field models but 79% can be partially simplified.

SARS-CoV-2 Beta variant infection elicits potent lineage-specific and cross-reactive antibodies

SARS-CoV-2 Beta variant infection generates lineage-specific antibodies and cross-reactive antibodies with neutralizing activity against wild-type and other variants.

Enhanced fitness of SARS-CoV-2 variant of concern B.1.1.7, but not B.1.351, in animal models

The paper compares the fitness of SARS-CoV-2 variants B.1.1.7 and B.1.351 in animal models, finding B.1.1.7 has a fitness advantage in ferrets and mice but not in hamsters.

A SARS-CoV-2 neutralizing antibody protects from lung pathology in a COVID-19 hamster model

This study identifies a potent SARS-CoV-2 neutralizing antibody that protects hamsters from infection and lung damage.

Microhabitats shape diversity-productivity relationships in freshwater bacterial communities

The paper examines how microhabitats influence diversity-productivity relationships in freshwater bacterial communities, finding that particle-associated habitats show strong positive correlations between diversity and productivity.

Randomized lasso associates freshwater lake-system specific bacterial taxa with heterotrophic production through flow cytometry

The paper uses machine learning to link bacterial taxa with heterotrophic production in freshwater lakes using flow cytometry and 16S rRNA data.