TotalSeq™ Reagents for Single-Cell Proteogenomics


TotalSeq™ oligo-conjugated antibodies enable measurement of proteins at a single cell level and integrate seamlessly into existing single-cell RNA sequencing workflows, including Drop-Seq and those available from 10x Genomics.


Simultaneous Multiomic Data Generation: Increase the power of single cell experiments by combining proteomic and transcriptomic data.

Reduced Dropouts: In contrast to mRNA, TotalSeq™-derived antibody tags are not highly prone to dropouts, which are essentially false negative readouts.
 

Ultra-High Parameter Protein Detection: Detect hundreds of proteins in a single cell.  A lower dropout rate contributes to enhanced sample clustering and the ability to better identify specific cell types.
 

Diverse applications: With a wide-range of mouse and human targets available, you can use TotalSeq™ antibodies in a variety of research areas, including:

 
Buyer is solely responsible for determining whether Buyer has all intellectual property rights that are necessary for Buyer's intended uses of the BioLegend TotalSeq™ products. For example, for any technology platform Buyer uses with TotalSeq™, it is Buyer's sole responsibility to determine whether it has all necessary third party intellectual property rights to use that platform and TotalSeq™ with that platform.

Explore Additional Resources

Download our eBook: The Evolution and Future of Single-Cell Proteogenomics to learn more about applications using TotalSeq™ reagents and how they can contribute to discoveries in precision oncology.

Watch our introductory video to understand the basics behind proteogenomics-based applications.

This technology was first described by Stoeckius et al. of the NY Genome Center as they used antibodies coupled with oligonucleotides to simultaneously measure proteins and RNA at a single-cell level. They termed this method Cellular Indexing of Transcriptomes and Epitopes by sequencing or CITE-seq. Learn more about CITE-Seq and other TotalSeq™ applications in one of our webinars.

Other Web Resources


Learn more about 10x Genomics Single Cell Solutions including the Single Cell Gene Expression Solution (compatible with TotalSeq™-A and –B reagents) or the Single Cell Immune Profiling Solution (compatible with TotalSeq™-C reagents).

For more information regarding CITE-seq development and methodology, check out the CITE-seq website.  Please note, we have optimized the use of our TotalSeq™ reagents using our protocols.

References

 

The list below contains selected publications referencing TotalSeq™ products, as well as the original CITE-seq (Stoeckius et al.) and REAP-seq (Peterson et al.) papers. Please note, manuscripts appearing in bioRxiv and medRxiv have not undergone a peer-review process.

 

Unterman A, et al. Single-Cell Omics Reveals Dyssynchrony of the Innate and Adapative Immune System in Progressive COVID-19. medRxiv. 2020; doi: 10.1101/2020.07.16.20153437

 

Muench DE, et al. Mouse models of neutropenia reveal progenitor stage-specific defects. Nature. 2020; Jun; 582 (7810): 109-114.

 

Arunachalam P, et al. T cell-inducing vaccine durably prevents mucosal SHIV infection even with lower neutralizing antibody titers. Nat Med. 2020; doi: 10.1038/s41591-020-0858-8

 

Maier B, et al. A conserved dendritic-cell regulatory program limits antitumour immunity. Nature. 2020; doi: 10.1038/s41586-020-2134-y.

 

Kotliarov Y, et al. Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus. Nat Med. 2020; doi: 10.1038/s41591-020-0769-8.

 

Mulè M, et al. Normalizing and denoising protein expression data from droplet-based single cell profiling. bioRxiv. doi: 10.1101/2020.02.24.963603

 

Granja et al. Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia. Nat Biotechnol. 2019 Dec; 37: 1458-1465.

 

Kendal et al. Identification of human tendon cell populations in healthy and diseased tissue using combined single cell transcriptiomics and proteomics. bioRxiv doi: 10.1101/2019.12.09/86993

 

Karagiannis et al. Single cell transcriptomics reveals opioid usage evokes widespread suppression of antiviral gene program. bioRxiv doi: 10.1101/630574

 

Gaublomme et al. Nuclei multiplexing with barcoded antibodies for single-nucleus genomics. Nat Communications. 2019 July; 10: 2907.

 

Stoeckius et al. Simultaneous epitope and transcriptome measurement in single cells. Nat Methods. 2017 Sep; 14(9): 865-868.

 

Peterson et al. Multiplexed quantification of proteins and transcripts in single cells. Nat Biotechnol. 2017 Oct; 35(10): 936-939.