Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Nova-ST Spatial Transcriptomics protocol v1
View through CrossRef
Nova-ST is a an open-source, high-resolution sequencing based spatial transcriptomics workflow. This method gives comparable resolution to BGI Stereoseq, SeqScope & PIXEL seq. Nova-ST is derived from dense nano-patterned randomly barcoded Illumina NovaSeq 6000 S4 sequencing flow cells. More details in the Nova-ST pre-print. Nova-ST enables customized, low cost, flexible, and high-resolution spatial profiling of broad range of tissue section sizes (upto 10mm x 8 mm). In this protocol, we provide detailed step-by-step resource for implementing the Nova-ST spatial transcriptomics workflow in you lab. Bioinformatics and data analysis workflows are detailed in: https://github.com/aertslab/Nova-ST. For any protocol related or data analysis clarifications, you can reach out to us via nova.st.aertslab@gmail.com.
Title: Nova-ST Spatial Transcriptomics protocol v1
Description:
Nova-ST is a an open-source, high-resolution sequencing based spatial transcriptomics workflow.
This method gives comparable resolution to BGI Stereoseq, SeqScope & PIXEL seq.
Nova-ST is derived from dense nano-patterned randomly barcoded Illumina NovaSeq 6000 S4 sequencing flow cells.
More details in the Nova-ST pre-print.
Nova-ST enables customized, low cost, flexible, and high-resolution spatial profiling of broad range of tissue section sizes (upto 10mm x 8 mm).
In this protocol, we provide detailed step-by-step resource for implementing the Nova-ST spatial transcriptomics workflow in you lab.
Bioinformatics and data analysis workflows are detailed in: https://github.
com/aertslab/Nova-ST.
For any protocol related or data analysis clarifications, you can reach out to us via nova.
st.
aertslab@gmail.
com.
Related Results
Abstract 2078: Single-cell spatial transcriptomics in colon adenocarcinoma reveals tumor heterogeneity and immune microenvironmental shifts
Abstract 2078: Single-cell spatial transcriptomics in colon adenocarcinoma reveals tumor heterogeneity and immune microenvironmental shifts
Abstract
Colon adenocarcinoma (CRC) features complex molecular changes and a dynamic remodeling of the tumor microenvironment (TME). Understanding spatial organizati...
Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy
Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy
A comprehensive understanding of tumor heterogeneity, tumor microenvironment and the mechanisms of drug resistance is fundamental to advancing breast cancer research. While single-...
Nova-ST Chip Preparation Protocol v1
Nova-ST Chip Preparation Protocol v1
Nova-ST is a an open-source, high-resolution sequencing based spatial transcriptomics workflow. This method gives comparable resolution to BGI Stereoseq, SeqScope & PIXEL seq. ...
spaDesign: A Statistical Framework to Improve the Design of Sequencing-based Spatial Transcriptomics Experiments
spaDesign: A Statistical Framework to Improve the Design of Sequencing-based Spatial Transcriptomics Experiments
Rigorous experimental design is essential for obtaining biologically meaningful findings and high-throughput spatial transcriptomics studies are not an exception. While some effort...
Imputation of Spatially-resolved Transcriptomes by Graph-regularized Tensor Completion
Imputation of Spatially-resolved Transcriptomes by Graph-regularized Tensor Completion
Abstract
High-throughput spatial-transcriptomics RNA sequencing (sptRNA-seq) based on in-situ capturing technologies has recently been developed ...
Understanding glioblastoma : cell identity in tissue space
Understanding glioblastoma : cell identity in tissue space
<p dir="ltr"><b>Abstract</b></p><p dir="ltr">Glioblastoma is the most prevalent form of brain cancer among adults. Inherently malignant and aggressive...
Understanding glioblastoma : cell identity in tissue space
Understanding glioblastoma : cell identity in tissue space
<p dir="ltr"><b>Abstract</b></p><p dir="ltr">Glioblastoma is the most prevalent form of brain cancer among adults. Inherently malignant and aggressive...
Abstract 1205: Modeling spatially resolved cell-type-specific gene expression by weighted regression with SPACER
Abstract 1205: Modeling spatially resolved cell-type-specific gene expression by weighted regression with SPACER
Abstract
Transcriptomic analysis has substantially advanced our understanding of human diseases, but the complex nature of tissues is often ignored. Recent developme...