Daniela Amann‐Zalcenstein

This study identifies γδ T cell infiltration in SCLC and shows their anti-tumor activity, suggesting they could be therapeutic targets.

SpatialBench evaluates spatial transcriptomics platforms using a mouse spleen model, finding consistent biological signals but varying resolution across technologies.

The paper shows iron deficiency reduces Plasmodium parasitemia in pregnant women and mice, and iron supplementation does not increase parasitemia when combined with malaria prevention.

TIRE-seq streamlines RNA-seq workflows by integrating mRNA purification into library preparation, improving efficiency and data quality in perturbation studies.

The paper benchmarks spatial transcriptomics technologies using a multi-sample dataset from mouse spleen tissue, finding improved data quality with probe-based capture methods and CytAssist.

This study evaluates sample multiplexing reagents and protocols for scRNA-Seq, finding that workflow improvements and reagent choice impact data quality and cost-effectiveness.

The paper examines spatial transcriptomic and proteomic profiles of Hofbauer cells in placentas with and without past Plasmodium falciparum infection, finding no significant differences in HBC features but reduced fetal vessel development in infected placentas.

The paper uses scRNA-seq and flow cytometry to identify novel immune and epithelial cell populations in preschool CF patients' bronchoalveolar lavage.

The paper benchmarks scRNA-seq analysis methods using synthetic datasets generated from mixed cancer cell lines, identifying methods that perform well across tasks like normalization, clustering, and integration.

SIS-seq links gene expression with cell fate by analyzing clonal progeny, identifying early gene signatures of dendritic cell subset development.

scPipe provides a flexible R/Bioconductor pipeline for preprocessing scRNA-seq data, handling multiple barcoding strategies and generating quality reports for downstream analysis.