OLD Category: CosMx SMI
April 3, 2024 / Nat Commun
Spatial transcriptomics reveals discrete tumour microenvironments and autocrine loops within ovarian cancer subclones
High-grade serous ovarian carcinoma (HGSOC) is genetically unstable and characterised by the presence of subclones with distinct genotypes. Intratumoural heterogeneity is linked to recurrence, chemotherapy resistance, and poor prognosis. Here,…
March 28, 2024 / Cancer Discov
Spatially Segregated Macrophage Populations Predict Distinct Outcomes In Colon Cancer
Tumor-associated macrophages are transcriptionally heterogeneous, but the spatial distribution and cell interactions that shape macrophage tissue roles remain poorly characterized. Here, we spatially resolve five distinct human macrophage populations in…
March 26, 2024 / Nat Commun
Spatial transcriptomics reveals molecular dysfunction associated with cortical Lewy pathology
A key hallmark of Parkinson’s disease (PD) is Lewy pathology. Composed of α-synuclein, Lewy pathology is found both in dopaminergic neurons that modulate motor function, and cortical regions that control…
February 27, 2024 / Nat Genet
BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis
Spatial omics data are clustered to define both cell types and tissue domains. We present Building Aggregates with a Neighborhood Kernel and Spatial Yardstick (BANKSY), an algorithm that unifies these…
February 19, 2024 / Nat Commun
Single-cell and spatial multi-omics highlight effects of anti-integrin therapy across cellular compartments in ulcerative colitis
Ulcerative colitis (UC) is driven by immune and stromal subsets, culminating in epithelial injury. Vedolizumab (VDZ) is an anti-integrin antibody that is effective for treating UC. VDZ is known to…
February 18, 2024 / eBioMedicine
In situ single-cell profiling sheds light on IFI27 localisation during SARS-CoV-2 infection
The utilization of single-cell resolved spatial transcriptomics to delineate immune responses during SARS-CoV-2 infection was able to identify M1 macrophages to have elevated expression of IFI27 in areas of infection.…
January 13, 2024 / Nat Commun
BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
Recent advances in subcellular imaging transcriptomics platforms have enabled high-resolution spatial mapping of gene expression, while also introducing significant analytical challenges in accurately identifying cells and assigning transcripts. Existing methods…
January 12, 2024 / Genome Biol
Niche-DE: niche-differential gene expression analysis in spatial transcriptomics data identifies context-dependent cell-cell interactions
Existing methods for analysis of spatial transcriptomic data focus on delineating the global gene expression variations of cell types across the tissue, rather than local gene expression changes driven by…
January 2, 2024 / Nat Cancer
Presence of onco-fetal neighborhoods in hepatocellular carcinoma is associated with relapse and response to immunotherapy
Onco-fetal reprogramming of the tumor ecosystem induces fetal developmental signatures in the tumor microenvironment, leading to immunosuppressive features. Here, we employed single-cell RNA sequencing, spatial transcriptomics and bulk RNA sequencing…
December 20, 2023 / Nat Med
Multiomic spatial landscape of innate immune cells at human central nervous system borders
The innate immune compartment of the human central nervous system (CNS) is highly diverse and includes several immune-cell populations such as macrophages that are frequent in the brain parenchyma (microglia)…
December 8, 2023 / Nat Genet
CellCharter reveals spatial cell niches associated with tissue remodeling and cell plasticity
Tissues are organized in cellular niches, the composition and interactions of which can be investigated using spatial omics technologies. However, systematic analyses of tissue composition are challenged by the scale…
November 28, 2023 / BMC Genomics
A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omics
Cell annotation is a crucial methodological component to interpreting single cell and spatial omics data. These approaches were developed for single cell analysis but are often biased, manually curated and…