Biology subjects

Croteau, J.

Publications and source records attributed to Croteau, J..

4 recordsLinked to original sources

bioRxiv2026

Cell Type Weighted Dimensionality Reduction

High-dimensional single-cell technologies, such as flow cytometry and CITE-Seq, typically rely on established lineage markers to define cell identities. Additional markers are commonly analyzed within the context of these predefined cell types. Nonlinear projection methods such as t-SNE and UMAP provide a visual framework for this analysis by enabling the overlay of cell types and marker expression. However, these methods frequently produce projections where distinct cell types substantially overlap, hindering interpretation of marker expression patterns relative to known cell types. In this study, we investigate the underlying causes of this phenomenon and demonstrate that such overlaps often stem from the inherent high-dimensional structure of the data rather than limitations in the dimensionality reduction algorithms themselves. To address this, we introduce Cell Type Weighted Dimensionality Reduction (CWDR), a novel approach that incorporates lineage-based information through a supervised weighting mechanism. By integrating both cell identity and marker expression, CWDR preserves the visual separation between predefined cell types while maintaining the local variance necessary for downstream analysis. We validate our method across multiple high-dimensional flow cytometry and proteogenomic datasets. Our results show that CWDR significantly reduces inter-cluster overlap compared to traditional methods, providing a clearer framework for visualizing marker expression within the context of specific cell lineages.

bioinformatics↗

bioRxiv2025

Joint single-cell measurements of surface proteins, intracellular proteins and gene expression with icCITE-seq

The development of single-cell RNA-sequencing assays has transformed our understanding of cellular and tissue heterogeneity, yielding significant insights into disease biology and its underlying mechanisms. In this work, we describe icCITE-seq (intracellular cellular indexing of transcriptomes and epitopes), a scalable method that simultaneously measures surface and intracellular protein levels alongside gene expression across thousands of cells. We validate the specificity of intracellular staining and demonstrate the utility of this multi-omic approach in interrogating phenotypic cellular states through targeted genetic perturbations in primary human T cells. icCITE-seq enables systematic profiling of gene expression, coupled with cytoplasmic, nuclear and PTM epitopes, providing an integrated approach towards understanding cellular identity, complexity and disease regulatory mechanisms.

immunology↗

bioRxiv2024

Genomic Specificity of Anti-TCR mAbs determined by single-cell RNAseq

T cells play a pivotal role in the immune system, relying on their somatically rearranged T cell receptor (TCR) to recognize peptide-MHC complexes. A comprehensive and extensively used set of monoclonal antibodies (mAbs) against TCR Variable regions was generated in the previous century. The separate identification of mAb-specific TCR-V proteins and TRV genes has resulted in multiple nomenclatures, making their relationships unclear. To formally re-establish this link and determine patterns of reactivity within TRV subfamilies, we sorted T cells positive for any one of a panel of 22 anti-V mAbs and determined their TRV genes by single-cell TCRseq. RNAseq data revealed consistently higher expression of repeated elements from the ERV1-family LTR RLTR6Mm (mapping to Gm20400) in cells utilizing TRBV segments encoded within a 66kb genomic region between TRBV23 and TRBV30. Our findings provide a comprehensive resource for anti-TCR mAb specificity and insight into V-gene usage biases and T cell function.

immunology↗

bioRxiv2020

IBEX: A versatile multi-plex optical imaging approach for deep phenotyping and spatial analysis of cells in complex tissues

The diverse composition of mammalian tissues poses challenges for understanding the cell-cell interactions required for organ homeostasis and how spatial relationships are perturbed during disease. Existing methods such as single-cell genomics, lacking a spatial context, and traditional immunofluorescence, capturing only 2-6 molecular features, cannot resolve these issues. Imaging technologies have been developed to address these problems, but each possesses limitations that constrain widespread use. Here we report a new method that overcomes major impediments to highly multi-plex tissue imaging. Iterative Bleaching Extends multi-pleXity (IBEX) uses an iterative staining and chemical bleaching method to enable high resolution imaging of >65 parameters in the same tissue section without physical degradation. IBEX can be employed with various types of conventional microscopes and permits use of both commercially available and user-generated antibodies in an open system to allow easy adjustment of staining panels based on ongoing marker discovery efforts. We show how IBEX can also be used with amplified staining methods for imaging strongly fixed tissues with limited epitope retention and with oligonucleotide-based staining, allowing potential cross-referencing between flow cytometry, Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-Seq), and IBEX analysis of the same tissue. To facilitate data processing, we provide an open source platform for automated registration of iterative images. IBEX thus represents a technology that can be rapidly integrated into most current laboratory workflows to achieve high content imaging to reveal the complex cellular landscape of diverse organs and tissues. Significance StatementSingle cell flow cytometry and genomic methods are rapidly increasing our knowledge of the diversity of cell types in metazoan tissues. However, suitably robust methods for placing these cells in a spatial context that reveal how their localization and putative interactions contribute to tissue physiology and pathology are still lacking. Here we provide a readily accessible pipeline (IBEX) for highly multi-plex immunofluorescent imaging that enables a fine-grained analysis of cells in their tissue context. Additionally, we describe extensions of the IBEX workflow to handle hard to image tissue preparations and a method to facilitate direct integration of the imaging data with flow cytometry and sequencing technologies.

immunology↗