R. Weissleder

Therapy-associated remodeling of pancreatic cancer revealed by single-cell spatial transcriptomics and optimal transport analysis

This study uses single-cell spatial transcriptomics and optimal transport analysis to reveal therapy-induced changes in pancreatic cancer microenvironment interactions.

Multiplexed analysis of a single EV (MASEV) reveals unique biomarker composition with diagnostic impact

The paper introduces MASEV, a method for analyzing single EVs, and finds that common EV markers are rare, biomarkers co-occur in few vesicles, affinity purification loses rare subtypes, and deep profiling improves diagnostic potential.

Biomolecular condensates govern PARP inhibitor trapping and present mechanisms of resistance

This study investigates how PARP inhibitors trap PARP1 in biomolecular condensates and identifies mechanisms of resistance.

Cerebrospinal fluid outflow through skull channels instructs cranial hematopoiesis

The paper shows cerebrospinal fluid exits through skull channels into bone marrow, and bacteria use this route during meningitis to initiate cranial hematopoiesis.

Csf1r-GCaMP5 Reporter Mice Reveal Immune Cell Communication in Vitro and in Vivo

The paper develops a calcium reporter mouse model to non-destructively study spatiotemporal calcium dynamics in immune cells, revealing intercellular communication in vitro and in vivo.

Type I interferon responses to ischemic injury begin in the bone marrow of mice and humans and depend on Tet2, Nrf2, and Irf3

The paper shows type I interferon responses to ischemic injury start in the bone marrow of mice and humans, involving Tet2, Nrf2, and Irf3, and identifies ISG scores as a clinical biomarker.

A mouse model of recurrent myocardial infarction reports diminished emergency hematopoiesis and cardiac inflammation

This study develops a mouse model of recurrent myocardial infarction and finds that prior MI reduces emergency hematopoiesis and immune response to subsequent cardiac injury.

Deep transfer learning-based hologram classification for molecular diagnostics

This paper develops a deep transfer learning method to classify LDIH holograms without image reconstruction, enabling low-cost point-of-care diagnostics.