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RACS-Seq 单细胞拉曼光镊分选仪

RACS-Seq®可对各类细胞样品进行一站式单细胞代谢表型测量、单细胞拉曼分选、单细胞基因组解析和单细胞培养。基于稳定同位素标记底物饲喂单细胞拉曼光谱技术，RACS-Seq®不需分离培养、在单细胞精度直接鉴定微生物种类，并测量各种代谢相关表型（及其细胞间异质性）。

通过单细胞微液滴光镊拉曼分选与低偏好性核酸扩增技术，以获取高覆盖度、与代谢表型相关联的单细胞基因组。此外，还能在复杂菌群中直接耦合单细胞分离与单细胞微液滴培养。RACS-Seq®为菌群的代谢活性快检、种质资源挖掘和功能机制研究提供了新一代、原创的装备解决方案。

国内外首台单细胞拉曼分选-测序文库耦合系统，获中国科学院科研装备研制专项支持，获国家基金委科学仪器基础研究项目支持。



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产品特性

单细胞拉曼光谱有非标记、无损、快速测量细胞代谢表型组、可与单细胞测序对接等优势。基于单细胞拉曼图谱，可鉴别单细胞种类，且并行测量底物代谢、物质合成、代谢物互作网络、环境应激、物种间互作等代谢表型组及其细胞间异质性。

适配原创 RAGE 芯片，利用光镊力锁定表型测量后的目标细胞，并借助超稳流路，将功能单细胞包裹于微液滴（pL体系）中，“所见即所得”地获取目标单细胞。

原创的RAGE-Seq技术大幅降低了MDA扩增的偏好性。单个大肠杆菌细胞全基因组序列覆盖度可达90%以上（pL级微液滴扩增体系），远高于对照组（23%；μL级扩增体系）。

技术参数

适用范围 人体、环境、海洋、土壤等菌群样品
细胞大小 0.5-50 μm的细菌、古菌和真菌细胞，可扩展应用于微藻、植物、动物及人体细胞
样品起始量 10^6-10^7 个/mL
显微物镜 10×/50×/100×
分选方式 光镊力
分选环境 液相
代谢分析通量 20-200个细胞/min
细胞分选通量 2-5个活性单细胞/min
单细胞率 ≥90%
接收形式 单管单细胞

应用案例

案例二：工业生物技术

以莱茵衣藻、小球藻、微拟球藻等为模式，在单个细胞的精度，针对淀粉、蛋白质、甘油三酯含量和脂质不饱和度等表型进行细胞工厂的过程监控和代谢功能筛选；以乳酸菌为模式，在单细胞精度监测工业发酵过程中细胞生长周期与代谢状态的变化。

案例三：医药生物技术（人体微生态）

基于稳定同位素标记底物饲喂拉曼成像和分选，对肠道菌群进行单细胞精度的代谢功能快检、分选、测序和培养；以及对益生菌进行超高通量的快速质控（包括菌种鉴定、活菌计数、代谢活性检测等）和功能筛选。

案例一：拉曼组/元拉曼组能同时揭示丰富多样的单细胞代谢表型组

单细胞拉曼光谱有非标记、无损、快速测量细胞代谢表型组、可与单细胞测序对接等优势。基于单细胞拉曼图谱，可鉴别单细胞种类，且并行测量底物代谢、物质合成、代谢物互作网络、环境应激、物种间互作等代谢表型组及其细胞间异质性。

案例五：环境/农业生物技术

基于重水孵育、针对代谢活性进行菌群中功能细胞的识别、分选和测序，单个细胞的基因组覆盖度可达90%。

案例四：海洋生物资源挖掘和生态监测

分选获取海水中单个原位固定CO2的目标细菌细胞，并且对1个细胞的基因组即可获得超过95%的基因组覆盖度。

相关产品

媒体报道

• 中国科学院：青岛能源所发布首台单细胞拉曼分选及测序耦合系统 • 仪器信息网：中科院青岛生物能源所发布首台单细胞拉曼分选及测序耦合系统（RACS-SEQ） • 青岛财经日报：青能所研发“细胞搜索引擎” • Chinese Academy of Sciences: China develops world's first instrument system for raman-activated cell sorting and sequencing • EurekAlert!: China develops world's first instrument system for raman-activated cell sorting and sequencing • PHYS: China develops world's first instrument system for raman-activated cell sorting and sequencing • Bioengineer: China develops world’s first instrument system for raman-activated cell sorting and sequencing

星赛用户论文集萃

2023.11.01 Jingyu Cui, Rongze Chen, Huili Sun, et al 　　Synthetic and Systems Biotechnology

Culture-free identification of fast-growingcyanobacteria cells by Raman-activatedgravity-driven encapsulation and sequencing AREA OF INTEREST Industrial Biotech

SPECIES

Algae

RACS-Seq DOI : 10.1016/j.synbio.2023.11.001 PubMed :

2023.05.25 Jia Zhang, Lihui Rui, Lei Zhang, et al 　　iMeta

Single‐cell rapid identification, in situ viability and vitality profiling, and genome‐based source‐tracking for probiotics products AREA OF INTEREST Industrial Biotech

SPECIES

RACS-Seq DOI : 10.1002/imt2.117 PubMed :

2022.11.19 Xiaoyan Jing et. al., 　　ISME JOURNAL

Single-cell Raman-activated sorting and cultivation (scRACS-Culture) for assessing and mining in situ phosphate-solubilizing microbes from nature AREA OF INTEREST Environment and Agriculture

SPECIES

Bacteria

RACS-Seq DOI : 8512663 PubMed :

2022.11.01 Xiaoyan Jing, Yanhai Gong, et al., 　　BioDesign Res

Revealing CO2-Fixing SAR11 Bacteria in the Ocean by Raman-Based Single-Cell Metabolic Profiling and Genomics AREA OF INTEREST Ocean

SPECIES

Bacteria

RACS-Seq DOI : 10.34133/2022/9782712 PubMed :

2022.03.29 Peng Zhang et. al., 　　Nature Communications

Exploring a blue-light-sensing transcription factor to double the peak productivity of oil in Nannochloropsis oceanica AREA OF INTEREST Environment and Agriculture Ocean

SPECIES

Algae

RACS-Seq DOI : 10.1038/s41467-022-29337-x PubMed : 35351909

2021.08.31 Yuehui He, et al., 　　mBio

Intra-Ramanome Correlation Analysis unveils metabolite conversion network from an isogenic population of cells AREA OF INTEREST Industrial Biotech

SPECIES

Algae

RACS-Seq, Chips DOI : 10.1128/mBio.01470-21 PubMed : 34465024

2021.06.29 Xiaoyan Jing，et al., 　　mSystems

One-Cell Metabolic Phenotyping and Sequencing of Soil Microbiome by Raman-Activated Gravity-Driven Encapsulation (RAGE) AREA OF INTEREST Environment and Agriculture

SPECIES

Bacteria

Microbiome

RACS-Seq, EasySort, Chips, Kits DOI : 10.1128/mSystems.00181-21 PubMed : 34042466

2021.06.18 Mohammadhadi Heidari Baladehi，et al., 　　Anal Chem

Culture-Free Identification and Metabolic Profiling of Microalgal Single Cells via Ensemble Learning of Ramanomes AREA OF INTEREST Environment and Agriculture

SPECIES

Algae

Microbiome

RACS-Seq, Chips DOI : 10.1021/acs.analchem.1c01015 PubMed : 34142549

2021.03.14 Qintao Wang, et al., 　　Plant J

Genome engineering of Nannochloropsis with hundred-kilobase fragment deletions by Cas9 cleavages AREA OF INTEREST Industrial Biotech

SPECIES

Algae

RACS-Seq DOI : 10.1111/tpj.15227 PubMed : 33719095

2021.01.12 Maryam Hekmatara, et al., 　　Anal Chem

D2O-probed Raman microspectroscopy distinguishes metabolic dynamics of macromolecules in organellar anticancer drug response AREA OF INTEREST Medicine

SPECIES

Human

Yeast

CAST-R, RACS-Seq, Chips, Kits DOI : 10.1021/acs.analchem.0c03925 PubMed : 33435684

2020.06.09 Teng Xu, et al., 　　Small

Phenome-genome profiling of single bacterial cell by Raman-Activated Gravity-Driven Encapsulation and Sequencing AREA OF INTEREST Medicine

SPECIES

Bacteria

Microbiome

CAST-R, RACS-Seq, EasySort, Chips, Kits DOI : 10.1002/smll.202001172 PubMed : 32519499

2017.11.17 Yuehui He, et al., 　　Biotechnol Biofuels

Label-free, simultaneous quantification of starch, protein and triacylglycerol in single microalgal cells AREA OF INTEREST Industrial Biotech

SPECIES

Algae

RACS-Seq, Chips, Kits DOI : 10.1186/s13068-017-0967-x PubMed : 29177009

2017.03.10 Yifan Tao, et al., 　　Anal Chem

Metabolic-activity-based assessment of antimicrobial effects by D2O-labeled single-cell Raman microspectroscopy AREA OF INTEREST Medicine

SPECIES

Bacteria

CAST-R, Kits DOI : 10.1021/acs.analchem.6b05051 PubMed : 28282113

2016.10.19 Lin Teng ，et al., 　　Sci Rep

Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome AREA OF INTEREST Medicine

SPECIES

Bacteria

CAST-R, RACS-Seq, EasySort DOI : 10.1038/srep34359 PubMed : 27756907

2015.01.13 David Berry，et al., 　　Proc Natl Acad Sci U S A

Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells AREA OF INTEREST Medicine

SPECIES

Bacteria

CAST-R, RACS-Seq DOI : 10.1073/pnas.1420406112 PubMed : 25550518

2014.12.01 Yuetong Ji，et al., 　　Biotechnol J

Raman spectroscopy provides a rapid, non-invasive method for quantitation of starch in live, unicellular microalgae AREA OF INTEREST Industrial Biotech

SPECIES

Algae

RACS-Seq, Chips, Kits DOI : 10.1002/biot.201400165 PubMed : 24906189

2014.04.09 Tingting Wang，et al., 　　Biotechnol Biofuels

Quantitative dynamics of triacylglycerol accumulation in microalgae populations at single-cell resolution revealed by Raman microspectroscopy AREA OF INTEREST Industrial Biotech

SPECIES

Algae

RACS-Seq, Chips, Kits DOI : 10.1186/1754-6834-7-58 PubMed : 24716544
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