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Integrated single|cell transcriptomic analyses identify a novel ...


Identification of Niche-Specific Gene Signatures between Malignant ...

The tumor microenvironment significantly affects the transcriptomic states of tumor cells. Single-cell RNA sequencing (scRNA-seq) helps elucidate the ...

Integrative Single-Cell and Bulk Transcriptomes Analyses Identify ...

Briefly, expression values in each dataset were first z-score transformed and then subjected to the nearest template prediction (ntp) algorithm ...

Single-Cell Transcriptomics Reveals Novel Role of Microglia in ...

Single-cell RNA sequencing (scRNA-seq) is a recently developed approach for molecular separation of different cell populations based on ...

Transcriptome and Single-Cell Sequencing Analyses to Classify ...

Title, Transcriptome and Single-Cell Sequencing Analyses to Classify Immune Subtypes, Uncover Novel Biomarkers, and Assess Immunotherapeutic Responses in Cancer.

Integrated single-cell and spatial transcriptomic analyses unravel ...

We performed single-cell RNA sequencing and high-resolution spatial transcriptomic analysis. This revealed tumor context dependent changes in gene expression.

The Cancer Genome Atlas Program (TCGA) - NCI

Over the next dozen years, TCGA generated over 2.5 petabytes of genomic, epigenomic, transcriptomic, and proteomic data. ... cell-of-origin patterns, oncogenic ...

An integrated single-cell transcriptomic dataset for non-small ... - OUCI

AbstractAs single-cell RNA sequencing (scRNA-seq) has emerged as a great tool for studying cellular heterogeneity within the past decade, the number of ...

Single Cell RNA-Seq in Neuroscience 101 with Evan Macosko

The ability to routinely measure gene expression within thousands of individual cells opens exciting opportunities in many domains of ...

Single-cell transcriptomic analysis of mIHC images via antigen ...

Computational methods for automated identification of cell populations cluster cells according to expression similarities of the profiled ...

Integrated Skin Transcriptomics and Serum Multiplex Assays Reveal ...

Cells were processed on a Chromium Controller with Chromium Single Cell 3′ Reagent Kit (v2 Chemistry; 10× Genomics) per manufacturer's ...

Single-Cell Transcriptome Analysis Reveals Disease-Defining T-cell ...

Single-cell RNA sequencing, immunohistochemistry, and imaging mass cytometry identified immunosuppressive LAG3+ T cells near malignant cells in the MHC.

Introduction to single-cell RNA-seq analysis by Ming Tommy Tang

... comprehensive introduction to the rapidly evolving field of single-cell RNA sequencing (scRNA-seq) analysis. Workshop Highlights: • Overview ...

Single-cell analysis with nanopore sequencing - YouTube

... single-cell, whole-transcriptome sequence analyses using long nanopore reads can reveal important insights into tumor biology. Animation by ...

Multi-omics exploration of the role of PTGS2 as a hub gene in ferropto

In recent years, the development of bulk transcriptomics sequencing (bulk RNA-seq) and single-cell transcriptomics sequencing (scRNA-seq) has ...

From Images to Genes: Radiogenomics Based on Artificial ...

Single-cell sequencing, which encompasses genomics, transcriptomics, proteomics, and metabolomics at the individual cell level, can be ...

Yale Postdoctoral Positions

Please click the links below to read more about each position and to find contact information for applying for the job. Once you find a postdoctoral position ...

Omics and Network-Based Approaches in Understanding HD ...

The aim of the following chapter, is to discuss the most popular -omics related to HD research, and the growing popularity of single cell analysis, repositories ...

MGI-Mouse Genome Informatics-The international database ...

MGI: the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data for researching human health ...

Immune Microenvironment Alterations and Identification of Key ...

Methods: We assessed immune cell infiltration and immune microenvironment scores using the xCell algorithm. Differentially expressed genes (DEGs) ...

Broad Institute

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