J. Textor

Machine learning analysis of the T cell receptor repertoire identifies sequence features that predict self-reactivity

The paper uses machine learning to identify TCR sequence features predicting self-reactivity, finding that n-nucleotide additions and acidic amino acids reduce self-reactivity.

Constraints and trade-offs shape the evolution of T cell search strategies

This paper shows that T cell search strategies may arise from physical constraints rather than evolutionary adaptation, using simulations to demonstrate that optimal motion patterns can emerge as side effects of cellular mechanics.

ImmuNet: A Segmentation-Free Machine Learning Pipeline for Immune Landscape Phenotyping in Tumors by Muliplex Imaging

ImmuNet is a machine learning pipeline that identifies cell positions and phenotypes in multiplex imaging without segmentation, outperforming segmentation-based methods with error rates below 5-10%.

Pre-existing chromatin accessibility and gene expression differences among naïve CD4+ T cells influence effector potential

The paper shows pre-existing transcriptional and chromatin differences in naive CD4+ T cells influence their effector lineage potential.

Actin-inspired feedback couples speed and persistence in a Cellular Potts Model of cell migration

This paper shows that a Cellular Potts Model of cell migration spontaneously reproduces the universal speed-persistence coupling without being designed for it.

Cancer cell elimination by cytotoxic T cell cooperation and additive damage

The paper shows that cytotoxic T cells eliminate cancer cells through multiple sublethal interactions rather than a single lethal hit, highlighting additive cytotoxicity in vivo.

Negative T cell selection on non-random peptides promotes robust self-nonself discrimination

The paper shows that negative T cell selection on non-random peptides enables robust self-nonself discrimination despite incomplete silencing of self-reactive cells.

Local Attachment Explains Small-World-Like Properties of Fibroblastic Reticular Cell Networks in Lymph Nodes

The paper explains small-world properties in FRC networks using a geographical preferential attachment model and shows lattice-likeness suffices for small-world classification.

Deep Sequencing Reveals Transient Segregation of T Cell Repertoires in Splenic T Cell Zones During an Immune Response

The paper uses deep sequencing to show that T cell receptor repertoires in splenic T cell zones are transiently segregated during an immune response but not in the absence of antigen.