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Top Single-Cell Multi-Omics Companies

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60 companies for Single-Cell Multi-Omics

Proteona's Logo

Proteona

San Jose, Philippines

D

1-10 Employees

2017

Key takeaway

The company, Singleron Biotechnologies, offers innovative single-cell transcriptome and multi-omics solutions that empower clinical researchers to derive deep insights into diseases, ultimately guiding medical practice.

Reference

Service

Single Cell Sequencing Service - Singleron, From Single Cell Multi-Omics to Precision Medicine-Singleron Biotechnologies

Single-Cell Core's Logo

Single-Cell Core

Utrecht, Netherlands

A

1-10 Employees

2020

Key takeaway

Single-Cell Core is dedicated to making advanced single-cell multi-omics technologies accessible to the research community, providing a range of state-of-the-art sequencing methods that enable in-depth exploration of samples. Their expertise and high-quality library production significantly enhance research projects focused on understanding genetic alterations in tumors.

Reference

Core business

Single-Cell Core - Providing single-cell (epi)genomic sequencing solutions

Single-Cell Core, an Oncode Institute facility, offers state-of-the-art single-cell (epi)genomic sequencing technologies at cost price

Single Cell Discoveries's Logo

Single Cell Discoveries

Utrecht, Netherlands

A

11-50 Employees

2018

Key takeaway

The company specializes in advanced single-cell sequencing services, emphasizing its commitment to integrating cutting-edge technologies for biopharmaceutical, health system, and academic research applications. With a focus on single-cell and spatial transcriptomics, they offer tailored solutions that enhance diagnostic and therapeutic projects.

Reference

Core business

Single Cell Sequencing CRO - Single Cell Discoveries

We are the leading single-cell sequencing CRO, providing services globally. Our unmatched expertise results in the highest quality data.

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Mission Bio's Logo

Mission Bio

San Francisco, United States

B

51-100 Employees

2012

Key takeaway

Mission Bio is dedicated to advancing single-cell biology through its innovative multi-omics platform, which allows for the simultaneous characterization of genotype and phenotype. This capability is crucial for researchers focused on cancer discovery and precision medicine.

Reference

Service

Single-cell Multi-omics | Mission Bio

Discover the only single-cell multi-omics platform performing simultaneous characterization of genotype and phenotype for your cancer research. Find out more.

Single-Cell Technologies (SCT)'s Logo

Single-Cell Technologies (SCT)

Szeged, Hungary

B

1-10 Employees

2016

Key takeaway

The company focuses on advancing biology research through cutting-edge machine learning and visualization techniques, with an emphasis on single-cell technologies.

Reference

Core business

Single-Cell Technologies

Single Cell Omics Germany (SCOG)'s Logo

Single Cell Omics Germany (SCOG)

Berlin, Germany

A

11-50 Employees

2018

Key takeaway

The company is hosting monthly presentations on recent advances in single-cell research, which directly relates to the query on single-cell multi-omics.

Reference

Core business

Single Cell Omics Germany

Genomics Core Leuven's Logo

Genomics Core Leuven

Leuven, Belgium

A

11-50 Employees

-

Key takeaway

The Genomics Core Leuven offers access to advanced single-cell sequencing technologies, making it a valuable resource for researchers interested in single-cell multi-omics. Their state-of-the-art systems, including the Sequel IIe System, enable comprehensive analysis of genomes, transcriptomes, and epigenomes.

Reference

Service

Single-Cell Core – Genomics Core Leuven

Labtoo's Logo

Labtoo

La Rochelle, France

A

1-10 Employees

2017

Key takeaway

Labtoo offers multi-omics single-cell sequencing data analysis, transforming single-cell RNA-seq and CITE-seq datasets into actionable insights. Their services streamline the R&D process, enabling quicker advancements in drug development.

Reference

Service

Multi-omics single cell sequencing data analysis - Labtoo

Go from single-cell RNA-seq and CITE-seq datasets into insights ready for visualization with batch effect removal, clustering, cell type

Qognit's Logo

Qognit

San Carlos, United States

B

1-10 Employees

-

Key takeaway

Qognit provides cloud-based software and data science solutions specifically for single-cell technologies, including multi-omics.

Reference

Core business

Qognit

Minos Biosciences's Logo

Minos Biosciences

Paris, France

A

1-10 Employees

2020

Key takeaway

Minos Biosciences emphasizes the importance of single-cell analysis in understanding cell diversity, which is crucial for advancing biological and medical research. Their innovative microfluidics and imaging techniques offer precise insights into complex cell populations, significantly benefiting areas like precision medicine and therapeutic development.

Reference

Core business

Minos Biosciences


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Things to know about Single-Cell Multi-Omics

What is Single-Cell Multi-Omics?

Single-Cell Multi-Omics refers to a powerful approach that integrates multiple omics layers—such as genomics, transcriptomics, proteomics, and epigenomics—at the single-cell level. This technology enables researchers to gain a comprehensive understanding of cellular heterogeneity and the intricate biological processes within individual cells. By analyzing various molecular features simultaneously, scientists can uncover insights into cellular functions, disease mechanisms, and responses to treatments. This method enhances the ability to decipher complex biological systems by providing a more nuanced view of how different molecular components interact in unique cell types. As a result, Single-Cell Multi-Omics is increasingly being utilized in fields like cancer research, immunology, and developmental biology, pushing the boundaries of precision medicine and personalized therapies.


How does Single-Cell Multi-Omics improve data accuracy?

Single-Cell Multi-Omics significantly enhances data accuracy by integrating various types of biological information from individual cells. This approach allows researchers to capture a more comprehensive picture of cellular functions, including gene expression, epigenetic modifications, and protein levels, all at the single-cell level. By combining these multiple layers of data, it reduces the noise and variability often encountered in bulk analyses, leading to more precise and reliable interpretations of cellular behaviors. Moreover, the ability to analyze heterogeneous cell populations improves the detection of rare cell types and subtle cellular states. This results in a more nuanced understanding of biological processes and disease mechanisms, ultimately contributing to the development of targeted therapies and personalized medicine. The synergy of multiple omics technologies ensures that the data derived from single-cell analyses is both robust and informative.


What are the applications of Single-Cell Multi-Omics in research?

Single-Cell Multi-Omics is a powerful approach that combines various omics techniques to analyze individual cells, providing insights into cellular heterogeneity. This technology is crucial for understanding complex biological systems and has diverse applications in research. 1. Cancer Research
It helps identify tumor heterogeneity, track cancer evolution, and discover novel biomarkers for personalized therapies.

2. Developmental Biology
Researchers use it to study cell differentiation and lineage tracing during development, revealing how different cell types emerge over time.

3. Immunology
This approach enables the analysis of immune cell diversity and functionality, contributing to vaccine development and understanding autoimmune diseases.

4. Neuroscience
Investigating the cellular composition of the brain, it aids in understanding neurological disorders and the complexity of neural networks.

5. Microbiology
Single-Cell Multi-Omics is utilized to explore microbial communities, revealing interactions and functions within complex ecosystems. These applications highlight the versatility and significance of Single-Cell Multi-Omics in advancing research across multiple fields.


How does Single-Cell Multi-Omics differ from traditional omics approaches?

Single-Cell Multi-Omics represents a significant advancement over traditional omics approaches by enabling the analysis of multiple types of biological data at the single-cell level. In contrast to traditional methods that typically average data across a bulk population of cells, single-cell techniques provide a more granular view of cellular heterogeneity. This allows researchers to identify distinct cellular populations, understand their unique molecular profiles, and explore dynamic biological processes with greater precision. Moreover, Single-Cell Multi-Omics integrates various omics layers, such as genomics, transcriptomics, and proteomics, within individual cells. This integration facilitates a comprehensive understanding of cellular function and regulation, revealing insights that would be obscured in bulk analyses. Overall, this approach enhances the ability to uncover complex biological interactions and disease mechanisms, making it a powerful tool in modern biomedical research.


What technologies are used in Single-Cell Multi-Omics?

Single-Cell Multi-Omics employs a variety of advanced technologies to analyze different types of biological data at the single-cell level. One of the key methods is single-cell RNA sequencing (scRNA-seq), which allows researchers to examine gene expression patterns in individual cells. This technique can be coupled with single-cell DNA sequencing to study genomic variations, offering insights into mutations and genetic diversity. Additionally, single-cell proteomics plays a crucial role in assessing protein expression and post-translational modifications within single cells. Technologies such as mass cytometry and fluorescence-activated cell sorting (FACS) facilitate the analysis of protein markers, enabling a deeper understanding of cellular functions. Furthermore, spatial transcriptomics integrates spatial information with transcriptomic data, providing context to the cellular microenvironment. Together, these technologies create a comprehensive view of cellular behavior and interactions in various biological contexts.


Insights about the Single-Cell Multi-Omics results above

Some interesting numbers and facts about your company results for Single-Cell Multi-Omics

Country with most fitting companiesUnited States
Amount of fitting manufacturers7340
Amount of suitable service providers5269
Average amount of employees1-10
Oldest suiting company2012
Youngest suiting company2020

Geographic distribution of results





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Frequently asked questions (FAQ) about Single-Cell Multi-Omics Companies

Some interesting questions that has been asked about the results you have just received for Single-Cell Multi-Omics

Based on our calculations related technologies to Single-Cell Multi-Omics are Biomedical (Red), Bioinformatics (Gold), Environmental Biotechnology (Grey), Agricultural Biotechnology (Green), Food Related Biotechnology (Yellow)

Start-Ups who are working in Single-Cell Multi-Omics are Single-Cell Core, Minos Biosciences

The most represented industries which are working in Single-Cell Multi-Omics are Biotechnology, IT, Software and Services, Other, Healthcare, Medical

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