Single
cell analysis is an
emerging technology that helps sequence whole human genome at a
single cell level. This particularly includes genomics,
transcriptomics, proteomics, epigenomics, and metabolomics with its
sensitivity improved to single cell level. In genomics, new
generation methodologies such as next generation sequencing and third
generation sequencing play crucial roles. The aim of single cell
analysis is mainly to measure and analyze cellular heterogeneity.
Single cell analysis interpret life at fundamental level and find
immense applications in the field of medicine. Single cell analysis
over conventional standard cell numbers sequencing method enable the
discovery and investigation of unknown micro-organisms. A study
published in the Journal of Single Cell Analysis 2014, stated that a
variety of technologies that are powerful and less expensive, such as
Multiple Annealing And Looping-Based Amplification Cycle (MALBAC) and
Multiple Displacement Amplification (MDA), find great progress in
uncovering somatic mutations in human genome and detection of copy
number variation. But in human single-cell genomics, Whole Genome
Sequencing or Whole Exome-Sequencing (WGS or WESseq) finds great
potential in clinical applications, especially in screening,
diagnosis, and monitoring. It is popular in academic research because
mRNA helps bridge genome structure and epigenomics modification with
phenotype, reveals gene functions and regulatory network, and most
importantly it is easier to perform than proteomics.
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Inclination toward single-cell technology by biologists is mainly
because many samples including stem cells, immune cells, neurons,
cancers, and other tissues exhibit a stochastic nature with
heterogeneity factor. Conventional methods cannot provide
transcriptomic profile in highly heterogeneous cell population. Even
if cell population is less, single cell analysis can enable the
identification of biomarkers of delicate phenotypes or disorders
(e.g. cancer stem cells). In addition, this analytical technique also
helps classify different cell types in different physiological and
pathological conditions, in very rare events of any somatic mutation,
epigenetic modification of regulatory gene expression, and its
function.
Global Single Cell Analysis Market – Trends and Opportunity
A study by the Journal of Analytical and Bioanalytical Chemistry in
2014, stated that Inductively Coupled Plasma Mass Spectroscopy
(ICP-MS) and ICP Optical Emission Spectrometry (ICP-OES) are applied
using metal atoms such as nanoparticle for investigation of
cell-to-cell variance or cellular uptake of drugs and other elements.
Single-cell genomics find many clinical applications such as genetic
diagnosis of embryo-related diseases and to study blood-borne
Circulating Tumor Cells (CTCs). These applications may be further
employed for diagnosis, prognosis, and treatment of cancer.
Major key players in the global single cell analysis market
include 10X Genomics, Abcam Plc., Agilent Technologies, Fluxion
Biosciences, Becton, Dickinson and Company, Bio-Rad Laboratories,
Inc., Bio-Techne Corporation, Bruker, Danaher Corporation, Fluidigm
Corporation, GE Healthcare, and Illumina, among others.
Global Single Cell Analysis Market Taxonomy:
The global single cell analysis market is segmented on the basis of
product, types of cells, type of technique, application, and end
user.
By product:
• Consumables (beads, microplate, reagents, assay kits, etc.)
• Instruments (PCR, NGS system, spectrophotometers, etc.)
- Automated
- Manual
10x Genomics, in 2017, launched the chromium single cell V(D)J
solution for profiling full length paired V(D)J transcripts from
hundreds to millions of lymphocyte. It is a reagent system, which has
the ability to completely identify and characterize T and B cells by
single cell sequencing. This will reveal true clonality and diversity
in adaptive immune system. This product will have an impact on
research based single cell analysis market.
By Types of cells:
• Human
• Animal
• Microbial
By Type of technique:
• Mass Spectroscopy (MS)
• Polymerase Chain Reaction (PCR)
• Next-Generation Sequencing
• Flow Cytometry
• Microscopy
By Application:
• Research
• Diagnostic applications
- Noninvasive Prenatal Diagnosis (NIPD)
- In Vitro Fertilization (IVF)
- Circulating Tumor Cells (CTCs)
By End User:
• Academic & Research Institutes
• Biotechnology and Biopharmaceutical Companies
• Hospitals and Diagnostic Laboratories
• Cell Banks and IVF Centers
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