Single Cell RNA Sequencing Analysis Platform

inDrop™ System

The inDrop ™ System is the only scRNA-Seq platform that provides enhanced experimental control, more actionable information and a lower overall cost per result compared to other existing platforms.

Scientists can now conduct more studies looking at more cells to gain more insights.

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inDrop Highlights

Less expensive to run more samples

Flexibility with design experiments

Ability to process challenging samples

Maximize data from clinical samples

System Advantages

The Industry's Highest Encapsulation Rates: >90% with low doublet
More Actionable Info: Rare cell subpopulations and low abundant, bias-free transcripts
Versatile Input Requirements: Diverse cell types, sizes and quantities
Low Overall Cost Per Result: As low as 5¢ per cell

Diverse Applications

Cancer: Tumor profiling
Immunobiology: B-cell and T-cell receptor analysis
Drug Discovery: Identification and validation of new drug targets
Stem Cell: Cell-to-cell variation identification
Developmental Biology: Cell lineage tracing

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inDrop Workflow

Step 1

Isolate and suspend cells

Step 2

Hydrogel Bead-Cell co-encapsulation

(In-drop synthesis of barcoded cDNA)

Step 3

Build sequencing library

(Sequence)

Step 2

Apply informatics pipeline

(Analyze single-cell transcriptional data)

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Science

Publications

A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure. [Epub ahead of print] PMID: 27667365
Baron M, Veres A, Wolock SL, Faust AL, Gaujoux R, Vetere A, Ryu JH, Wagner BK, Shen-Orr SS, Klein AM, Melton DA, Yanai I.;
Cell Syst. 2016 Sep 21. pii: S2405-4712(16)30266-6. doi: 10.1016/j.cels.2016.08.011.

Droplet Barcoding For Single-Cell Transcriptomics Applied To Embryonic Stem Cells
Klein et al.
2015, Cell 161, 1187-1201

Marrying Microfluidics and Barcoding Technology
Cell, May 21, 2015, 161, Issue 5

End Sequence Analysis Toolkit (ESAT) expands the extractable information from single-cell RNA-seq data.
Derr et al.
2016, Genome Research 26(10): 1397-1410. Epub 2016 Jul 28