Back to search

Article

Spatial Deconvolution of HER2-positive Breast Tumors Reveals Novel Intercellular Relationships

2020-07-14

Abstract excerpt

<h4>ABSTRACT</h4> In the past decades, transcriptomic studies have revolutionized cancer treatment and diagnosis. However, tumor sequencing strategies typically result in loss of spatial information, critical to understand cell interactions and their functional relevance. To address this, we investigate spatial gene expression in HER2-positive breast tumors using Spatial Transcriptomics technology. We show that e...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8817c40b-43f6-59ad-826f-b8e57eff92d8
DOI
10.1101/2020.07.14.200600
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Spatial Deconvolution of HER2-positive Breast Tumors Reveals Novel Intercellular RelationshipsDOI 10.1101/2020.07.14.200600
Spatial Single-Cell Transcriptomic Analysis in Breast Cancer Reveals Potential Biomarkers for PD1 Blockade TherapySemantic proximity
Spatially distinct cellular and molecular landscapes define prognosis in triple negative breast cancerSemantic proximity
Spatial transcriptomics reveals substantial heterogeneity in triple-negative breast cancer with potential clinical implicationsSemantic proximity
Spatial transcriptomics reveals substantial heterogeneity in triple negative breast cancer with potential clinical implicationsSemantic proximity
Spatial Transcriptomic Analysis of a Diverse Patient Cohort Reveals a Conserved Architecture in Triple-Negative Breast CancerSemantic proximity
Breast cancer through the lens of whole transcriptome spatial imagingSemantic proximity
Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapySemantic proximity
Multidimensional transcriptomics provides detailed information about immune cell distribution and identity in HER2+ breast tumorsSemantic proximity
Spatial Logic Reconciles Gene-signature Methods in Triple Negative Breast CancerSemantic proximity
Virtual spatial transcriptomics from histopathology enables prognostic and therapeutic response prediction in cancerSemantic proximity
Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic modelSemantic proximity
Spatial Transcriptomic Profiling Uncovers Tumor Heterogeneity and Microenvironmental Features Associated with Lymph Node Metastasis in Invasive Lobular CarcinomaSemantic proximity
Select a neighboring publication to make it the new centre.