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Cell Barcoding for Clonal Tracking and Lineage Analysis

High-complexity barcode libraries for resolving cellular dynamics in pooled screens, in vivo models, and single-cell assays.

Overview

Cellecta’s customizable barcode libraries empower researchers to trace thousands of individual cell clones in a single experiment. Whether you’re studying tumor evolution, treatment resistance, immune dynamics, or developmental lineage, our barcoding technology provides the diversity, accuracy, and flexibility needed to understand biology at cell-level resolution.

Applications

  • Longitudinal tracking of individual clones in cell culture and animal models
  • Lineage tracing in stem cell, immune, and cancer biology
  • Multiplexed pooled screening (e.g., CRISPR or shRNA)
  • Monitoring clonal dynamics in drug response or relapse
  • Single-cell variation of gene activation and genetic pathways analysis

Our Expertise and Differentiators

  • Massively Diverse Barcode Pools—Our libraries feature millions of defined, sequence-verified barcodes, enabling unparalleled clonal resolution.
  • Defined Barcode Sequences—Cellecta barcode libraries are cloned from defined pools of defined oligo sequences. They are not produced using random-nucleotide synthesis. As a result, barcode sequences recovered from studies have references for analysis and, therefore, can be identified and counted with a high degree of confidence.
  • Detectable in Both Genomic DNA and Expressed mRNA—Barcodes are expressed in the untranslated region of the selection marker gene, so they are detectable in bulk genomic DNA, as well as expressed on mRNA.
  • Multi-Function Barcoded Constructs—Combine barcode elements with sgRNA, shRNA, ORFs, or reporters for lineage-resolved screening.
  • Proven in Dozens of High-Impact Studies—Used in numerous peer-reviewed publications across Cell, Nature, Cancer Cell, and other high-impact journals.

Proprietary Technology

U.S. Patent No. 9,429,565 covers libraries with clonal barcode constructs paired to genetic effectors, such as shRNA, sgRNA, cDNA, etc., which are useful for assessing cell-to-cell variations across the population to each effector.

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