Clive Henry Wasserfall

Nanotherapy-mediated biased antigen-presenting cell reprogramming supports T cell anergy to prevent type 1 diabetes

This paper develops a nanotherapy to reprogram antigen-presenting cells and induce T cell anergy, delaying type 1 diabetes onset in mice.

Identification of a type 1 diabetes-associated T cell receptor repertoire signature from the human peripheral blood

The paper identifies TCR subsequence motifs associated with type 1 diabetes using deep learning and shows their enrichment in T1D individuals based on HLA risk alleles.

3D imaging of human pancreas suggests islet size and endocrine composition influence their loss in type 1 diabetes

The paper uses 3D imaging to analyze pancreatic islets in healthy and type 1 diabetes (T1D) individuals, finding that islet size and composition influence their loss in T1D.

Proinflammatory circulating extracellular vesicles from type 1 diabetes patients contribute to beta cell cytotoxicity and disease pathogenicity

Rare Subset of T Cells Form Heterotypic Clusters with Circulating Tumor Cells to Foster Cancer Metastasis

The paper identifies a rare subset of CD4 and CD8 double positive T cells that form clusters with circulating tumor cells, promoting cancer metastasis through immune suppression and integrin-mediated interactions.

Imaging mass cytometry reveals early β-cell dysfunction and changes in immune signatures during type 1 diabetes progression in human pancreata

The paper uses imaging mass cytometry to analyze human pancreatic samples and identifies early β-cell dysfunction and immune changes in type 1 diabetes progression.

Robust collection and processing for label-free single voxel proteomics

This paper introduces a method for label-free single voxel proteomics using wcSOP, enabling spatial resolution of protein expression in tissue samples.

Characterizing cell-type spatial relationships across length scales in spatially resolved omics data

The paper introduces CRAWDAD, a tool for analyzing cell-type spatial relationships across scales in spatially resolved omics data, and demonstrates its application on simulated and real datasets.

Optimizing multiplexed imaging experimental design through tissue spatial segregation estimation

The paper develops a statistical framework to estimate tissue spatial segregation, enabling optimal design of multiplexed imaging experiments by determining the necessary fields of view to capture all cell types.

Tissue Registration and Exploration User Interfaces in support of a Human Reference Atlas

The paper presents software tools and user interfaces for annotating and exploring tissue data in a human reference atlas, enabling data harmonization and public access.

geneBasis: an iterative approach for unsupervised selection of targeted gene panels from scRNA-seq.

geneBasis selects an optimal gene panel from scRNA-seq data by iteratively adding genes that maximize manifold distance, outperforming existing methods in resolving cell types and states.

Untargeted Metabolomic Analysis In Naturally Occurring Canine Diabetes Mellitus Identifies Similarities To Human Type 1 Diabetes

The paper compares metabolomic profiles of diabetic and healthy dogs to identify similarities with human type 1 diabetes.