Mission and Goals
The rapid advancement of single-cell technology has provided new powerful tools to answer many biological questions, such as identifying new or rare cell populations and characterizing the complexities of tumor heterogeneity. Realizing the great potential of single-cell technology in cancer research, the CCR has established a new Single Cell Analysis Facility (SCAF) located on the Bethesda main campus.
The SCAF works closely with CCR Sequencing Facility to also extend support to CCR Investigators located in Frederick, and works with other associated support groups at CCR, including CCR Genomics Core in Building 37, CCR Genomics Technology Lab, CCR Collaborative Protein Technology Resource in Building 37, the CCR Bioinformatics Training and Education Program, and the CCR Collaborative Bioinformatics Resource. SCAF aims to provide the broadest range of project support from consultation on experimental design sequencing and data analysis
Advanced Single-Cell Genomic Technologies
The rapid advancement of Single-Cell technology has provided new tools to answer many biological questions. Realizing the potential single-cell technology may have in cancer research the SCAF was established to provide the most advanced single-cell technologies to the CCR investigators. These include many established platforms.
10X Genomics Chromium System
10x Genomics’ supports multiple cancer research areas from single nucleotide and structural variant detection to single cell whole transcriptome gene expression analysis of thousands of individual cells, including paired, full-length T and B cell immune repertoire profiling.
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Plate-based Single Cell Approaches Smart-Seq2
Smart-Seq and Smart-Seq2: Switch Mechanism at the 5′ End of RNA Templates Smart-Seq was developed as a single-cell sequencing protocol with improved read coverage across transcripts.
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BD Rhapsody
The BD Rhapsody Single-Cell Analysis system empowers and streamlines your research with a complete system of tools, including reagents and analysis software, that work together to meet your unique single-cell experimental needs.
Learn MoreEmerging Technologies for Single-Cell Analysis
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10X Genomics Visium
Visium Spatial Gene Expression is a next-generation molecular technology for classifying tissue based on total mRNA. Map the whole transcriptome with morphological context.
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Gene Expression & Barcoding
Barcode technology is a method for adding extra channels of information to cells by running single-cell gene expression in parallel with other assays.
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Single-Cell Combinatorial Indexing
Single-cell combinatorial indexing (SCI) is an alternative, scalable approach to control the collision rate of single-cell sequencing by labeling subsequent rounds of physical compartmentalization with DNA barcodes.
Learn MoreThese technologies will give CCR-investigators the options for single cells studies, ranging from a few cells to hundreds of thousands of cells, and from single cell genomic assays such as RNA-seq to single cell protein quantification. Both locations will have dedicated bioinformatics staff to help you perform preliminary analysis and deliver the data in a format that will enable to focus on your biological questions.
These technologies will give CCR-investigators the options for single cells studies, ranging from a few cells to hundreds of thousands of cells, and from single cell genomic assays such as RNA-seq to single cell protein quantification.
For general information about single-cell genomics technologies available to CCR, please contact:
Dr. Mike Kelly
michael.kelly3@nih.gov.
For general information and project consultation using the CODEX or NanoString technology, please see the CPTR webpage Collaborative Protein Technology Resource (CPTR).
To initiate a project consultation or schedule an experiment with our experts, please contact:
CCR Single Cell Analysis Facility (SCAF) Contact:
(For Investigators Located in Bethesda):Dr. Mike Kelly (please ‘cc’ our group email)
michael.kelly3@nih.gov
CCR-SCAF@nih.gov (group email)
(For Investigators Located in Frederick):
Your Project Will Continue to Be Supported by the:
CCR Sequencing Facility (SF)