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Flow cytometry special service

Product Description
Case Analysis
Result display
Sample delivery
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(1) Identification of Extracellular Vesicles (Flow cytometry + Single cell sequencing) 

Extracellular vesicles (EV) are considered as potential non-invasive biomarkers in disease diagnosis and mediators in drug delivery with a high degree of heterogeneity. Transcriptome studies of single EVs are valuable to better define EV characteristics, EV subgroups and clinical applications. For EV identification and concentration assessment, it is a critical step for single cell sequencing to be successfully brought online. The use of flow cytometry-based means enables the size-specific localization of EVs, thus allowing the enumeration of integrity vesicles as well as the adjustment of appropriate concentrations for subsequent single-cell sequencing.

 

(2) Study of tumor immune microenvironment (Flow cytometry + single cell sequencing + spatial transcriptome + multicolor immunofluorescence)

The tumor microenvironment is a complex environment for tumor cells to survive and thrive. Tumor cells can evade the attack of immune cells, and grow rapidly and metastasize, leading to easy recurrence of the disease and poor prognosis. There are many studies on immunity in the tumor microenvironment, such as studying the immune activity of T cells and B cells at the cellular level. There are also a large number of studies combining spatial location, such as the finding that an increase in TIL-B and tertiary lymphoid structures (TLS) in germinal centers correlates with a good prognosis of tumor treatment.

(3) Plant genome size assay (flow cytometry + sequencing)

Genome size or C-value refers to the total amount of DNA contained in the eukaryotic haploid genome, which is species-specific and stable, and is a fundamental parameter of biological genome diversity. Flow cytometry assay is a relatively fast and effective method to identify the size of plant genomes. The assay can be followed by accurate evaluation in our sequencing platform.

Project advantages.

Wuhan Biobank's multi-omics platform has undergone 10 years of technological innovation. Led by several PhDs, the team has accumulated a lot of project experience. The multi-omics platform specifically includes three major segments: Cell Department, Sequencing Department and Protein Department , equipped with medium and large scale equipment such as flow cytometry, multicolor immunofluorescence, high throughput sequencing, single cell sequencing, spatial transcriptomics, mass spectrometry, NMR and Olink proteome. The platform can achieve multi-omics joint research of genome, epigenome, transcriptome, proteome, metabolome, etc.

At present, the platform has processed over hundreds of types of tissue samples and developed various tissue dissociation methods for different types of samples to solve the problem of samples not being able to come online. The platform includes a professional biochemical analysis team, which can personalize the analysis strategy. The platform includes one-stop technical services and facilitates the acceptance and publication of papers. The platform has helped many clinical scientists to publish many high-level scientific papers in top journals.

 

Project cycle: overall project, one project one negotiation

① Identification of Extracellular Vesicles (Flow cytometry + Single-Cell Sequencing)  

Signed article: Transcriptomic Features in a Single Extracellular Vesicle via Single-Cell RNA Sequencing.

Journal: Small Methods

Sample type: Human chronic myeloid leukemia cell line K562 and extracellular vesicles (EV) of mesenchymal stem cells (MSC)

Techniques used: Flow cytometry, single cell sequencing

Article Overview: In this article,the researchers analyzed RNA vectors from individual EVs derived from human K562 and mesenchymal stem cells (MSC) using the flow cytometry and single-cell sequencing platform of Wuhan BioBank. The key steps were to label intact EVs using calcein-AM, to detect EV concentrations by flow cytometry, and to use the CB2 algorithm with adaptive thresholds to efficiently distinguish between authentic EVs and background. Hemoglobin genes were found to be uniquely highly expressed in K562-EV, while cytoskeletal genes were enriched in MSC-EV. 10 or more clusters with different marker genes in each EV dataset showed EV heterogeneity. In addition, integration of EVs and their parental cells reveals EVs and cells in each cluster, indicating different cellular origins of different EVs. To the authors' knowledge, this study provides the first high throughput transcriptome at the level of individual EVs and improves the understanding of EVs.

 

 

Technology roadmap:

 

 

 

② Study of tumor immune microenvironment (flow cytometry + single cell sequencing + spatial transcriptome + multicolor immunofluorescence)

 

Case Study

Article: B cell signatures and tertiary lymphoid structures contribute to outcome in head and neck squamous cell carcinoma.

Journal: Nature Communications

Sample type: HPV-HNSCC versus HPV+ HNSCC patients paired with PBL and TIL

Applied techniques: flow cytometry, single-cell sequencing, multicolor immunofluorescence, etc.

Article overview: Most immunotherapies at this stage are aimed at promoting the immune activity of CD8+ T cells, but the contribution of humoral immunity to antitumor immunity remains unknown. In this article, the authors demonstrate that tumor-infiltrating B cell TIL-B in HPV+ and HPV- head and neck squamous cell carcinoma (HNSCC) has a distinct transcriptional profile. Moreover, germinal center (GC) TIL-Bs and tertiary lymphoid structures (TLS) containing germinal centers were significantly increased in HPV+ HNSCC patients, and these phenomena were associated with a good prognosis of HNSCC.

In addition, SEMA4A expression was increased on GC TIL-Bs compared to other TIL-B subpopulations, and SEMA4A has an important role in immunomodulatory processes. Overall, this study demonstrates the importance of TIL-B transcriptional signatures, phenotypes and spatial patterns in TME in HNSCC patients, and the results suggest that TIL-Bs and TLS contribute to antitumor immunity in HPV+ HNSCC and allow for targeted development of B cell immunotherapies in the clinical setting.



 

Technology roadmap:

 

 

 

③ Plant genome size detection (flow cytometry + sequencing)

Genome size or C-value refers to the total amount of DNA contained in eukaryotic haploid genomes, which is species-specific and stable, and is a fundamental parameter of biological genome diversity. Flow cytometry assay is a relatively fast and effective method to identify plant genome size, which is further evaluated precisely in our sequencing platform.

Results

 

(1)Identification of extracellular vesicles (flow cytometry+single cell sequencing)

EV size positioning and integrity EV count

 

(2)Study on tumor immune microenvironment (flow cytometry+single cell sequencing+space transcriptome+polychromatic immunofluorescence)

 

Detection of different TIL-B phenotypes by flow cytometry

 

(3)Detection of plant genome size (flow+sequencing)

    

 

 

 

 

 

 

 

 

 

Flow chart of plant genome size detection

 

Instructions for sample submission: one project, one discussion

EV size positioning and integrity EV count

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