Fast Encapsulation of Microbes into Dissolvable Hydrogel Beads Enables High‐Throughput Microbial Single‐Cell RNA Sequencing of Clinical Microbiome Samples

Microbial single-cell RNA-seq (mscRNA-seq) can achieve resolution at the cellular level, enhancing the understanding of microbial communities. However, current high-throughput mscRNA-seq methods are limited by multiple centrifugation steps, which can lead to microbial loss and bias. smGel-seq is reported, a high-throughput single-microbe RNA sequencing method for clinical microbiome samples that employs hydrogel beads to encapsulate individual microbes to reduce microbial loss and input requirements. In this method, a novel microchannel array device is implemented for encapsulating single microbe in dissolvable hydrogel beads (smDHBs), along with an optimized automated microfluidic platform to co-encapsulate barcoded beads and smDHBs, enabling high-throughput barcoding of individual microbes. smGel-seq significantly increases the microbial recovery rate in a gut microbiome sample from 8.8% to 91.8%. Furthermore, this method successfully processes clinical microbiome samples with microbial inputs 20 times lower than those required by previous methods. Notably, smGel-seq enables the first mscRNA-seq in a clinical sputum microbiome sample, revealing a specific microbial subpopulation that may play a key role in environmental adaptability, antibiotic resistance, and pathogenicity. These results highlight the compatibility of smGel-seq with clinical microbiome samples and demonstrate its potential for widespread application in diverse clinical and research settings.

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Publication Details

Journal
Advanced Materials
Published
2025-04-08
DOI
https://doi.org/10.1002/adma.202500481
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81

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article

Fast Encapsulation of Microbes into Dissolvable Hydrogel Beads Enables High‐Throughput Microbial Single‐Cell RNA Sequencing of Clinical Microbiome Samples

Zhaolun Wang, Zhengmin Tang, Shunji Zhang, Junjie Ma et al.
1 citations
Advanced Materials
Single-cell and spatial transcriptomics
0.81
article

Fast Encapsulation of Microbes into Dissolvable Hydrogel Beads Enables High‐Throughput Microbial Single‐Cell RNA Sequencing of Clinical Microbiome Samples

Zhaolun Wang, Zhengmin Tang, Shunji Zhang, Junjie Ma, Shufa Zheng, Yongcheng Wang, Wenjie Cai, Mengdi Song, Yuting Wang, Ziye Xu, Yifei Shen
article en
1 citations

Abstract

Microbial single-cell RNA-seq (mscRNA-seq) can achieve resolution at the cellular level, enhancing the understanding of microbial communities. However, current high-throughput mscRNA-seq methods are limited by multiple centrifugation steps, which can lead to microbial loss and bias. smGel-seq is reported, a high-throughput single-microbe RNA sequencing method for clinical microbiome samples that employs hydrogel beads to encapsulate individual microbes to reduce microbial loss and input requirements. In this method, a novel microchannel array device is implemented for encapsulating single microbe in dissolvable hydrogel beads (smDHBs), along with an optimized automated microfluidic platform to co-encapsulate barcoded beads and smDHBs, enabling high-throughput barcoding of individual microbes. smGel-seq significantly increases the microbial recovery rate in a gut microbiome sample from 8.8% to 91.8%. Furthermore, this method successfully processes clinical microbiome samples with microbial inputs 20 times lower than those required by previous methods. Notably, smGel-seq enables the first mscRNA-seq in a clinical sputum microbiome sample, revealing a specific microbial subpopulation that may play a key role in environmental adaptability, antibiotic resistance, and pathogenicity. These results highlight the compatibility of smGel-seq with clinical microbiome samples and demonstrate its potential for widespread application in diverse clinical and research settings.

Advanced MaterialsVol. 37(24)
Zhejiang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 29%
Single-cell and spatial transcriptomics
0.81
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