Presentations
- Enabling high-dimensional biology using BD® AbSeq Antibody Oligonucleotides
- Intracellular CITE-seq using BD® AbSeq Antibody-Oligos Assay Presentation
- Intracellular CITE-seq using BD® AbSeq Antibody-Oligos Workflow Deck
- CLL phenotyping with BD Rhapsody™ Targeted Panels and BD® AbSeq Assays
- Single cell multiomic analysis for the resolution of innate lymphoid cell heterogeneity
- One solution for comprehensive Treg characterization via single cell multiomic analysis
- Single cell multiomics analysis of immune cells in obese mice
- Single cell multiomics analysis for deep characterization of exhausted T cells
Brochures
-
Intracellular CITE-seq Assay using BD AbSeq Antibody-OligosBD™ Abseq antibody-oilgo conjugates Brochure
- The Intracellular CITE-seq Assay using BD® AbSeq Antibody-Oligos offers a complete solution for whole transcriptome and surface and intracellular protein detection with a validated protocol and intuitive bioinformatics pipeline for data analysis.
- Doc Number: BD-110471
-
BD™ AbSeq Immune Discovery Panel
- Uncover up to 30 immune markers in a single experiment.
- Doc Number: 23-23555-00
-
BD™ Abseq antibody-oilgo conjugates Brochure
- BD™ AbSeq antibody-oligonucleotides conjugates leverage oligonucleotide sequencing to attain high-parameter protein detection for multiomic analysis at the single-cell level. This new technology enables researchers to simultaneously detect protein and mRNA expression in the same experiment.
- Doc Number: 23-20833-00
White Paper
-
Simultaneous-mRNA-and-protein-quantification
- Doc Number: 23-20841
Datasheets
-
Exploring Tumor Heterogeneity of Chronic Lymphocytic Leukemia using Single Cell Multiomics
- BD FACSMelody™ Cell Sorter and BD Rhapsody™ Single-Cell Analysis System enable targeted mRNA and protein expression profiling in single cells
- Doc Number : 23-21772-00
-
Comparative analysis of CITE-seq on the BD Rhapsody™ and 10X Genomics Chromium Single-Cell Analysis Systems
- We demonstrate that AbSeq on the BD Rhapsody™ System has superior resolution to TotalSeq™ Antibodies on the 10X Genomics Chromium platform in an experiment comparing CITE-seq performance using two PBMC donors, controlling for antibody concentration and staining volume.
- Doc Number : BD-76797 (v2.0) 0323
-
Streamlined Transfer of High-parameter Flow Cytometry Panel from Cell Analyzer to Cell Sorter Prior to In-Depth Single-Cell Multiomic Analysis of Murine Lymphocyte Subpopulations
- Multiomic analysis with BD® AbSeq Antibodies and BD Rhapsody™ Single-Cell Analysis System further reveals distinct signatures across different lymphocyte subpopulations
- Doc Number : 23-22582-01
-
Leveraging the Power of High-Parameter Cell Sorting and Single-Cell Multiomics to Profile Intratumoral Immune Cells in a Model of B-cell Lymphoma
- BD Rhapsody™ Single-Cell Analysis System enable a comprehensive analysis of cell composition in the tumor microenvironment
- Doc Number : 23-22482-00
-
Assessing Tumor-Driven Perturbations During Hematopoiesis in a Melanoma Mouse model Through Single-Cell Multiomic Analysis
- Assess changes in surface protein and whole transcriptome expression simultaneously in single hematopoietic cells in tumor-burdened or healthy mice
- Doc Number : 23-22919-00
-
A Comprehensive Characterization of Regulatory T Cells Using BD Rhapsody™ Single-Cell Analysis System
- Simultaneous measurement of surface protein and mRNA expression enables the identification of distinct subsets of regulatory T cells
- Doc Number : 23-22159-00
-
Resolving Human Circulating Innate Lymphoid Cell Heterogeneity using Advanced Single Cell Multiomic Analysis
- Application of BD Rhapsody™ Single-Cell Analysis System for cell signature discovery and deep immunophenotyping of ILCs
- Doc Number : 23-22288-00
-
Assessing Obesity-Induced Inflammation in Mice Through Single Cell Multiomics Analysis
- Enabling simultaneous detection of protein and mRNA expression on a single cell level using the BD® AbSeq and BD Rhapsody™ Mouse Immune Response Panel
- Doc Number : 23-22019-00
-
Cell sorting enables in-depth deconvolution of cell subsets and identification of rare cell populations using single-cell multiomics
- Comparison of unsupervised clustering between unsorted and sorted samples highlights the benefits of cell sorting for downstream single-cell multiomic analysis
- Doc Number: BD-21436-00 (0920)