The research team led by Prof. GUO Guoji at the Center for Stem Cell and Regenerative Medicine, the Zhejiang University School of Basic Medical Sciences, published a research article entitled “High-throughput Microwell-seq 2.0 profiles massively multiplexed chemical perturbation” in the journal Cell Discovery, bringing into public attention Microwell-seq 2.0—a high-throughput screening platform with single-cell multiomic profiling.
In 2018, GUO Guoji and his team created the first comprehensive mammalian cell map (the Mouse Cell Atlas) using Microwell-seq, a convenient, low-cost and robust platform for high-throughput single-cell RNA sequencing. To meet the growing demand for single-cell RNA sequencing, they integrated pre-indexing technology with Mircowell-seq and established Microwell-seq 2.0 for the single-cell sequencing platform for high-throughput screening.
By using labeled reverse transcription (RT) primers and Tn5 transposase, researchers could pre-index the transcriptome and genome of a large number of cells. The labeled cells were then mixed and captured with an agarose plate, with each microwell able to trap multiple cells with different pre-labels. Cells in each microwell were labeled again through barcoded magnetic beads. In contrast with Microwell-seq 1.0, Microwell-seq 2.0 made better use of microwells. With two rounds of labeling, an agarose plate of Microwell-seq 2.0 could increase the throughput from 10,000 to nearly 1 million individual cells per experiment. Meanwhile, Microwell-seq 2.0 also gained an edge over the previous edition in dual-cell contamination control, sensitivity and cost control.

Schematic diagram of Microwell-seq 2.0 transcriptome (left) and ATAC (right) analysis
Cell-based high-throughput screening (HTS) is extensively applied in the field of life sciences. Assays suitable for HTS should be sensitive, robust, and economical. However, the readout of conventional HTS assays is restricted to gross phenotypes, including bulk transcriptional profiles, fluorescence signals, morphology, and viability, which cannot reveal subtle and heterogeneous changes in individual cells. In recent years, high-throughput single-cell sequencing technology has shown considerable promise in overcoming these limitations in cell-based HTS (Srivatsan, McFaline-Figueroa et al. 2020).
Prof. Guo led his team to analyze the perturbation of 48 small-molecule combinations on human embryonic stem cells using Microwell-seq 2.0, which exhibited exceptional sensitivity and robustness. Both Repsox and SB431542 are ALK inhibitors (Repsox: ALK5, ALK4, ALK7; SB431542: ALK5, TGFβR1). Microwell-seq 2.0 precisely identified their different perturbation effects.
Moreover, some small molecules, such as CHIR-99021, could significantly affect gene expression alone. However, other small molecules, such as retinoic acid, could produce apparent perturbations only when combined with other molecules.
“Our study illustrates the high sensitivity and robustness of Microwell-seq 2.0 in cell-based screening. This method may well pave the way for a more cost-effective multi-dimensional and high-throughput drug screening assay,” said Prof. Guo.
Source – Zhejiang University
Chen H, Liao Y, Zhang G, Sun Z, Yang L, Fang X, Sun H, Ma L, Fu Y, Li J, Guo Q, Han X, Guo G. (2021) High-throughput Microwell-seq 2.0 profiles massively multiplexed chemical perturbation. Cell Discov 7(1):107. [article]
The research team led by Prof. GUO Guoji at the Center for Stem Cell and Regenerative Medicine, the Zhejiang University School of Basic Medical Sciences, published a research article entitled “High-throughput Microwell-seq 2.0 profiles massively multiplexed chemical perturbation” in the journal Cell Discovery, bringing into public attention Microwell-seq 2.0—a high-throughput screening platform with single-cell multiomic profiling.
In 2018, GUO Guoji and his team created the first comprehensive mammalian cell map (the Mouse Cell Atlas) using Microwell-seq, a convenient, low-cost and robust platform for high-throughput single-cell RNA sequencing. To meet the growing demand for single-cell RNA sequencing, they integrated pre-indexing technology with Mircowell-seq and established Microwell-seq 2.0 for the single-cell sequencing platform for high-throughput screening.
By using labeled reverse transcription (RT) primers and Tn5 transposase, researchers could pre-index the transcriptome and genome of a large number of cells. The labeled cells were then mixed and captured with an agarose plate, with each microwell able to trap multiple cells with different pre-labels. Cells in each microwell were labeled again through barcoded magnetic beads. In contrast with Microwell-seq 1.0, Microwell-seq 2.0 made better use of microwells. With two rounds of labeling, an agarose plate of Microwell-seq 2.0 could increase the throughput from 10,000 to nearly 1 million individual cells per experiment. Meanwhile, Microwell-seq 2.0 also gained an edge over the previous edition in dual-cell contamination control, sensitivity and cost control.
Schematic diagram of Microwell-seq 2.0 transcriptome (left) and ATAC (right) analysis
Cell-based high-throughput screening (HTS) is extensively applied in the field of life sciences. Assays suitable for HTS should be sensitive, robust, and economical. However, the readout of conventional HTS assays is restricted to gross phenotypes, including bulk transcriptional profiles, fluorescence signals, morphology, and viability, which cannot reveal subtle and heterogeneous changes in individual cells. In recent years, high-throughput single-cell sequencing technology has shown considerable promise in overcoming these limitations in cell-based HTS (Srivatsan, McFaline-Figueroa et al. 2020).
Prof. Guo led his team to analyze the perturbation of 48 small-molecule combinations on human embryonic stem cells using Microwell-seq 2.0, which exhibited exceptional sensitivity and robustness. Both Repsox and SB431542 are ALK inhibitors (Repsox: ALK5, ALK4, ALK7; SB431542: ALK5, TGFβR1). Microwell-seq 2.0 precisely identified their different perturbation effects.
Moreover, some small molecules, such as CHIR-99021, could significantly affect gene expression alone. However, other small molecules, such as retinoic acid, could produce apparent perturbations only when combined with other molecules.
Source – Zhejiang University
Chen H, Liao Y, Zhang G, Sun Z, Yang L, Fang X, Sun H, Ma L, Fu Y, Li J, Guo Q, Han X, Guo G. (2021) High-throughput Microwell-seq 2.0 profiles massively multiplexed chemical perturbation. Cell Discov 7(1):107. [article]
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The research team led by Prof. GUO Guoji at the Center for Stem Cell and Regenerative Medicine, the Zhejiang University School of Basic Medical Sciences, published a research article entitled “High-throughput Microwell-seq 2.0 profiles massively multiplexed chemical perturbation” in the journal Cell Discovery, bringing into public attention Microwell-seq 2.0—a high-throughput screening platform with single-cell multiomic profiling.
In 2018, GUO Guoji and his team created the first comprehensive mammalian cell map (the Mouse Cell Atlas) using Microwell-seq, a convenient, low-cost and robust platform for high-throughput single-cell RNA sequencing. To meet the growing demand for single-cell RNA sequencing, they integrated pre-indexing technology with Mircowell-seq and established Microwell-seq 2.0 for the single-cell sequencing platform for high-throughput screening.
By using labeled reverse transcription (RT) primers and Tn5 transposase, researchers could pre-index the transcriptome and genome of a large number of cells. The labeled cells were then mixed and captured with an agarose plate, with each microwell able to trap multiple cells with different pre-labels. Cells in each microwell were labeled again through barcoded magnetic beads. In contrast with Microwell-seq 1.0, Microwell-seq 2.0 made better use of microwells. With two rounds of labeling, an agarose plate of Microwell-seq 2.0 could increase the throughput from 10,000 to nearly 1 million individual cells per experiment. Meanwhile, Microwell-seq 2.0 also gained an edge over the previous edition in dual-cell contamination control, sensitivity and cost control.
Schematic diagram of Microwell-seq 2.0 transcriptome (left) and ATAC (right) analysis
Cell-based high-throughput screening (HTS) is extensively applied in the field of life sciences. Assays suitable for HTS should be sensitive, robust, and economical. However, the readout of conventional HTS assays is restricted to gross phenotypes, including bulk transcriptional profiles, fluorescence signals, morphology, and viability, which cannot reveal subtle and heterogeneous changes in individual cells. In recent years, high-throughput single-cell sequencing technology has shown considerable promise in overcoming these limitations in cell-based HTS (Srivatsan, McFaline-Figueroa et al. 2020).
Prof. Guo led his team to analyze the perturbation of 48 small-molecule combinations on human embryonic stem cells using Microwell-seq 2.0, which exhibited exceptional sensitivity and robustness. Both Repsox and SB431542 are ALK inhibitors (Repsox: ALK5, ALK4, ALK7; SB431542: ALK5, TGFβR1). Microwell-seq 2.0 precisely identified their different perturbation effects.
Moreover, some small molecules, such as CHIR-99021, could significantly affect gene expression alone. However, other small molecules, such as retinoic acid, could produce apparent perturbations only when combined with other molecules.
Source – Zhejiang University
Chen H, Liao Y, Zhang G, Sun Z, Yang L, Fang X, Sun H, Ma L, Fu Y, Li J, Guo Q, Han X, Guo G. (2021) High-throughput Microwell-seq 2.0 profiles massively multiplexed chemical perturbation. Cell Discov 7(1):107. [article]
Related Posts
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data
MiRQuery – a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data
RNA sequencing resolves cryptic pathogenic variants in mitochondrial disease
Unlocking the past – new method helps gain insights into old tissue
New RNA sequencing model improves sequencing depth planning for UMI transcriptomics
Combining RNA sequencing and pathology images identifies glioblastoma subgroups linked to survival
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