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The Hebrew University : Epigenomics Ram Lab

About the Epigenomics Ram Laboratory

The Epigenomics Ram Laboratory is part of the Department of Biological Chemistry of Alexander Silberman Institute of Life Sciences, The Hebrew University in Jerusalem, Israel. The Ram Laboratory mission is to characterize chromatin mechanisms and transcriptional output at the single-cell level to better understand cellular processes in health and disease. To do so, they develop and utilize cutting-edge technologies including microfluidics, molecular and cellular biology, and computational biology. More specifically, they adapt RNA-seq and ChIP-seq methods at the single-cell level using droplet-based microfluidic devices.


“Microfluidics is a robust and cost effective technology for single cell and single clone processing”

“Fluigent made microfluidics parallelization a feasible task”

CloneSeq: A Highly Sensitive Single-cell Analysis Platform for Comprehensive Characterization of Cells from 3D Culture


Single-cell studies have revealed that there is considerable cell-to-cell variation within tumors of different cancer types and during embryonic stem cell (ESC) differentiation1–4. However, in many cases, single cell experimental data is still very noisy and difficult to interpret as a high degree of randomness persists.

To overcome this limitation, Bavli et al. developed a complementary single cell technology: CloneSeq. This method combines clonal expansion inside three-dimensional (3D) hydrogel spheres and droplet-based RNA sequencing (RNA-seq)5. The authors revealed the presence of novel cancer-specific subpopulations, including cancer stem-like cells, which are not identified using standard single cell RNA-seq assays.

Barcode formation, cell encapsulation in hydrogels, and scRNA-seq (including InDrops and Drop-seq) were all performed using Fluigent Flow EZ pressure-based flow controllers, controlled with Fluigent A-i-O software, with pressures ranging from 69 mbar to 2 bar.

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Step 1 – Single-cell encapsulation in hydrogels for 3D cell culture system

The first step of the CloneSeq method consists of capturing single cells inside a biodegradable hydrogel for subsequent clonal expansion. All flow rates are finely controlled using Fluigent Flow EZs combined with our Flow Units and A-i-O software. Flow rates used range from 8 to 34 µL/min depending on the solution. About 700 hydrogel spheres per second are generated under these parameters5.

The cured gels are collected into a tube and immersed in culture medium, permitting the proliferation of the encapsulated cells and clone formation (figure 2).

Figure 1: Scheme of the microfluidic setup for single cell encapsulation in hydrogels

Figure 2: Cell encapsulation and clone formation. a) Clone encapsulation (scale bar: 50µm), b) Scheme representing the hydrogel droplet supporting cell proliferation and clone formation, c) Bright-field and fluorescence microscopy images showing the formation of 3D clones of encapsulated PC9 cells. Scale bars: 30 µm

Step2 – CloneSeq: profiling of clones using modified InDrops and Drop-Seq protocols

For RNA profiling of clones, the authors designed a microfluidic device to capture clones in droplets and barcode their mRNAs using a custom InDrops protocol5. Figure 3 shows a scheme of this InDrop-based microfluidic configuration. Once again, flow rates are finely controlled using Fluigent Flow EZs combined with our Flow Units and A-i-O software.

Figure 3: Scheme of the microfluidic setup for the InDrops protocol

Figure 4: Zoom in of the encapsulation junction, showing a single clone co-encapsulated with a barcoded bead immersed in lysis buffer

The authors repeated the experiment with the Drop-Seq protocol, and finally performed scRNA-seq to an average of ~100,000 reads per cell and compared the data to the equivalent sequencing coverage applied for the clones. They observed that the number of unique molecular identifiers retrieved from each clone was on average 3 times higher than the numbers retrieved from single cells5.

Partial results

To study the effect that clonal expansion within the hydrogel spheres has on the homogeneity of cell states within the clones, the authors compared the inter-clone correlations of small (n<15 cells) and large (n≥15 cells) clones and of pseudo-clones. They showed for human PC9 cells that cells sharing a clonal origin are more similar to each other compared to random cells, suggesting that clones are homogeneous5.

Cleaning protocol

After the experiments, the authors perform an automated cleaning protocol using the Fluigent M-Switch, a microfluidic valve allowing to inject up to 10 fluids in a sequential manner.


With this case study, the authors demonstrated the use of Fluigent pressure-driven flow controllers along with a dedicated software to provide excellent flow control for cutting-edge microfluidic applications including single-cell encapsulation and culture within 3D hydrogels droplets, and for InDrops protocols followed by scRNA-seq.


  1. Li, H. et al. Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors. Nat. Genet. 49, 708–718 (2017).
  2. Dalerba, P. et al. Single-cell dissection of transcriptional heterogeneity in human colon tumors. Nat. Biotechnol. 29, 1120–1127 (2011).
  3. Kim, K. T. et al. Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells. Genome Biol. 16, 1–15 (2015).
  4. Tirosh, I. et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science (80-. ). 352, 189–196 (2016).
  5. Bavli, D. et al. CloneSeq: A highly sensitive analysis platform for the characterization of 3D-cultured single-cell-derived clones. Dev. Cell (2021).


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