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The increase of biological complexity is caused by cell differentiation and the ability to acquire different "identities", which reflects the differences in form or function of precursor cells in the system. This identity is largely defined by cell type and cell state. Effective identification of novel cell types and definition of their status are essential in disease understanding. 1C offers comprehensive suite of single cell omics solutions to assist you with novel cell type and states discovery.

Single-Cell Omics in Cell Type and State Definition

All living systems, from bacterial populations to complex multicellular organisms, are communities of single cells. Therefore, cell is the basic unit of biology, and the ability to analyze the behavior of organs and organisms at the single-cell level is essential to develop and understand the emergent behavior of these cell communities. Cell type and state are the products of cell molecular structure, including genomics, epigenomics, transcriptome, proteomics, and metabonomics, all of which are produced by internal and external factors of cells. Recently, the development of single-cell omics can evaluate the molecular structure of single cells, which provides a new perspective for the definition of cell characteristics, and also provides an opportunity to describe the production process of single cells in diseases more clearly.

Definitions of cell type and state.Fig.1 Definitions of cell type and state. (Mincarelli, 2018)

Discover Novel Cell Types and Define States with Single-Cell Omics

Nearly 60 years ago, a scholar put forward a metaphor about cell plasticity: cell is a huge possible state of "landscape" residents, they travel during development and in disease. Single-cell technology not only helps to locate cells in this landscape but also clarifies the molecular mechanism of the landscape itself. The introduction of single-cell genomics technology based on single-cell RNA sequencing paves the way for the rapid discovery of cell types without prior characteristics. The following single-cell proteomics and other single-cell technologies also contribute to the accurate description of cell state. At present, 1C can provide customers with multiple single-cell and multi-omics analysis services, providing unique opportunities to reveal new biological processes, including:

  • Single-cell genome sequencing method based on multiple displacement amplification
  • Single-cell epigenomic including DNA methylation, histone modification, chromatin accessibility and chromosomal conformation to detect cell identity
  • Single-cell proteomic assay based on mass spectrometry (MS)
  • Single-cell metabolomics detection with optical tools (such as gene-encoded optical nanosensors), improved expression system and in vivo imaging technology

By expanding and integrating the method developed for single component analysis, we can obtain multi-channel molecular readout, and use these characteristics of multi-component types to achieve a more comprehensive description of single-cell state.

Methods for the analysis of single-cell identity.Fig.2 Methods for the analysis of single-cell identity. (Mincarelli, 2018)

As a certified single cell service provider, 1C is dedicated to accelerating your research and providing accurate data effectively. With our services, you can easily initiate cutting-edge projects at single-cell level and overcome roadblocks at the bulk level. To find out more about our single cell services, please feel free to contact us to know more.


  1. Mincarelli, L.; et al. Defining Cell Identity with Single‐Cell Omics. Proteomics. 2018, 18(18): 1700312.
! ! For research purposes only. Not for clinical, therapeutic, or diagnostic purposes in animals or humans.


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