Gene Expression Market Snapshot
“The Gene Expression Market to grow from USD 4.4 Billion in 2023 to USD 8.32 Billion by 2030, at a CAGR of 8.56%.”
Gene expression involves using a gene's information to create a functional gene product, producing end products like proteins or non-coding RNA, which can change phenotype. Proteins are common, but non-protein-coding genes like transfer RNA and small nuclear RNA can also produce functional non-coding RNA.
Using existing methods, we can monitor the mRNA expression of every gene in the complete genome, even in individual cells. This powerful tool helps determine which genes are turned on, how much, and where.
Traditional gene expression evaluation involves monitoring phenotypes or characteristics, such as protein activity. Measurements of protein activity indicate the gene encoding that protein is most likely turned on, or can be used to identify trends and characteristics.
Gene expression is the key stage where the genotype, encoded in DNA, leads to the phenotype, an observable trait. The phenotype is the result of the interpretation of this information, often resulting in the creation of proteins that impact an organism's structure and function, or enzymes catalyzing specific metabolic pathways.
Gene expression regulation involves all steps in the process, including transcription, RNA splicing, translation, and post-translational protein modification. It controls the timing, location, and amount of a specific gene product in a cell, impacting cellular structure and function.
This regulation is crucial for cellular differentiation, development, morphogenesis, and organism diversity, potentially acting as a substrate for evolutionary change.
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Gene Expression Profiling and Quantitation: Methods and Techniques
Gene expression researchers employ various molecular biology techniques and methodologies, categorized into four main areas: RNA expression, promoter analysis, protein expression, and post-translational modification.
RNA Expression
Northern blotting- Electrophoresis and membrane transfer are used to quantify steady-state quantities of mRNA, with chemistries or radioactive labeling identifying RNA-probe complexes. This technique was the first to assess RNA levels, despite its time-consuming nature.
Real-Time PCR- Real-time PCR is a precise method used to analyze mutations, identify DNA changes, confirm northern blotting or microarray results, and conduct gene expression profiling. It involves reverse transcription of RNA to cDNA and quantitative PCR (qPCR) on the cDNA to determine steady-state levels of mRNA. This method can be quantified relative to other genes or against a standard, making it the gold standard in nucleic acid measurement due to its precision and sensitivity.
Promoter Analysis
Expression of reporter genes/promoter fusions in host cells —Promor activity in vivo is measured by combining multiple promoter sequences with a gene, resulting in a quantifiable product for tracking activity levels.
In vitro transcription- Transcription rates are determined by incubating cell nuclei with labelled nucleotides, hybridizing the product to a membrane, and exposing it to imaging media.
Protein Expression
Western blotting- Protein expression levels are quantified by electrophoresizing cell proteins, transferring them to a membrane, and probing them with antibodies targeted to antigens. Various chemistries or radiolabelling are used to detect these levels.
Immunoassays- Proteins in solution are quantitated using antibodies coupled to color-coded beads or immobilized to a surface (ELISA), probed with an antibody suspension, and commonly detected using a chromogenic or fluorogenic reporter.
Posttranslational Modification Analysis
Immunoassays — Antibodies specific to these adducts are utilized to detect protein phosphorylation levels and other post-translational modifications.
Mass spectrometry — The identification of proteins is based on their mass and changes.
Segment Analysis
Segment Analysis by technology
Next-Generation Sequencing (NGS) is a technique used to analyze genetic changes linked to disease by determining DNA or RNA sequences. It is also known as massively parallel sequencing, allowing for the simultaneous sequencing of millions of DNA sequences.
The market for NGS is expected to grow due to its increased application in clinical diagnostics, speed, cost, and accuracy, and its advantage over Sanger's sequencing approach, which provides accurate results with minimal sample input.
Next-generation sequencing technology is revolutionizing genomics and medical diagnosis, shifting from gene-by-gene approaches to precision models like syndrome-based panel sequencing, diagnostic exome sequencing, and diagnostic genome sequencing.
The Centres for Disease Control and Prevention predicts that over 60 million people worldwide will have their genomes sequenced by 2025, driven by countries taking the initiative to sequence large populations.
Segmented by Process
The data analysis and interpretation segment is expected to dominate the global gene expression market, offering crucial insights into illness causes, therapy response, and patient outcomes. This segment is driven by the need for data analysis tools and services, which include specialized software and bioinformatics tools for data preparation, normalization, statistical analysis, and visualization.
Segmented by Product
The reagents and consumables sector dominates the global gene expression market, supplying essential components like RNA extraction kits, reverse transcription reagents, PCR reagents, fluorescent dyes, probes, sequencing libraries, and other assay components. These consumables are frequently used in gene expression experiments and are tailored to the technique or platform. Their consistent and routine market base contributes to their dominance.
Growth Drivers
The demand for personalized medicine is on the rise.
Personalized medicine focuses on tailoring medical treatments to individual genetic makeup. Gene expression measurement is crucial for discovering biomarkers linked to diseases, treatment responses, and prognosis. Researchers can identify gene signatures and predict therapy results.
The demand for personalized medicine drives the need for broad gene expression research. Technological advancements like NGS, microarray, and single-cell analysis have increased the throughput, sensitivity, and accuracy of gene expression analysis, making it more accessible and affordable.
Market Restraints
High cost
Healthcare facilities may face financial constraints when incorporating gene expression analysis into diagnostic processes. The high upfront costs of procuring equipment, reagents, and knowledge may make investing in gene expression analysis difficult.
This may lead to reliance on less thorough but cheaper diagnostic approaches, limiting market expansion. Additionally, healthcare providers and payers may be hesitant to incorporate costly gene expression testing into routine clinical practice, especially if alternative diagnostic approaches are less expensive and produce similar results.
Opportunity
Government funding agencies and organizations offer grants and funding opportunities for scientific research, including gene expression investigations. Increased government assistance in research grants and financing programs enables researchers to invest in gene expression analysis, improve knowledge, create new technologies, and study fresh applications.
This funding propels the gene expression market forward, builds trust, and opens the path for commercialization and widespread acceptance of gene expression technology and products.
Competitive Landscape of the Gene Expression Market Analysis
New Developments in Gene Expression Market
July 5, 2023- QIAGEN expands next-generation sequencing portfolio with QIAseq Normalizer kits.
QIAGEN today announced the launch of the QIAseq Normalizer Kits that give researchers a fast, convenient and cost-effective method to pool different DNA libraries for best-quality results from next-generation sequencing (NGS) runs.
The QIAseq Normalizer Kit speeds up equalizing DNA concentrations across NGS libraries – so-called normalization – to 30 minutes from several hours by ending the need for quantifying DNA libraries using time-intensive and expensive procedures. It is high-throughput with an optimized protocol for parallel normalization of 96 samples, automation-friendly, and works without hazardous chemicals.
June 20, 2023- FBI approves QIAGEN’s NGS-based ForenSeq MainstAY workflow for the U.S. National DNA Index System (NDIS)
QIAGEN Frankfurt Prime Standard: QIA) announced that the U.S. Federal Bureau of Investigation (FBI) has approved its ForenSeq® MainstAY workflow. This allows accredited forensic DNA laboratories to process DNA casework samples and search resulting profiles against the U.S. National DNA Index System (NDIS) CODIS database containing 20 million offender profiles and used by authorities across the U.S. to help solve criminal investigations nationwide.
20/3/2023- 10x Genomics’ Chromium Single Cell Gene Expression Flex data now available on Illumina® BaseSpace™ Sequence Hub
Single cell RNA-sequencing is a next-generation sequencing (NGS) method that examines the transcriptomes of individual cells, providing a high-resolution view of cellular heterogeneity. 10x Genomics is a partner that develops multiple single cell and spatial biology solutions.
Chromium Single Cell Gene Expression Flex assay from 10x Genomics enables gene expression profiling for thousands to hundreds of thousands of cells or nuclei with a sensitive probe-based method that captures the whole human or mouse transcriptome to detect even low-expressing genes. This assay is compatible with fresh, PFA-fixed, and FFPE samples.
Regional Analysis of Global Gene Expression Industry
North America currently leads the global gene expression analysis market, likely to continue so in the forecast period. This growth is attributed to increased funding, research and development activities in gene therapy, government initiatives, and funding for next-generation sequencing (NGS) research.
The region's prosperity is also fueled by increased funding from research organizations, industries, and universities.
The Asia Pacific region is predicted to experience the highest growth in gene expression-related activities due to its vast and diverse patient population, particularly in the areas of cancer, cardiovascular disease, and infectious diseases.
This demand for gene expression analysis is driven by the need for precise diagnosis, prognosis, and therapy in this heterogeneous patient population.
Gene expression analysis market participants are seeing significant growth opportunities in emerging markets like India, China, and Brazil.
Market leaders are increasingly partnering with Chinese organizations, such as Illumina and KingMed Diagnostics, to develop next-generation sequencing-based oncology and genetic disease diagnostics.
Amoy Diagnostics Co. Ltd. has also partnered with Illumina to provide precision medicine and targeted therapeutics in China.
Segments Covered in the Gene Expression Market Report
Gene Expression Market Segment by Process
- Sample Collection
- Purification
- Data Analysis and Interpretation
- PCR Analysis
- cDNA Synthesis
Gene Expression Market Segment by Product
- Instruments
- Reagents and Consumables
- Services
Gene Expression Market Segment by Technology
- Polymerase Chain Reaction (PCR)
- Next-Generation Sequencing (NGS)
- DNA Microarray
- Others
Gene Expression Market Segment by End-user
- Pharmaceutical and Biotechnology Companies
- Diagnostic Laboratories
- Academic Research Centers
Gene Expression Market by Region
- North America
- Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Australia
- Rest of Asia-Pacific
- Rest of the World
- Middle East
- Africa
- Latin America
Frequently Asked Questions
What are some applications of Gene Expression?
Gene expression profiling uses microarrays to compare gene transcription in cancer cells and normal tissues, identifying overexpressed or underexpressed genes in cancers.
What is the expected growth rate of the Gene Expression market over the next 7 years?
The Gene Expression Market to grow from USD 4.4 Billion in 2023 to USD 8.32 Billion by 2030, at a CAGR of 8.56%.
Who are the major players in the Gene Expression market and what is their market share?
QIAGEN, Quest Diagnostics Incorporated, F. Hoffmann-La Roche Ltd, Illumina, Inc., Novogene Corporation, PerkinElmer Inc., Bio-Rad Laboratories, Thermo Fisher Scientific, Inc., Agilent Technologies, Promega Corporation, and Luminex Corporation, are prominent players operating and dominating in the market.
Who are the top 3 Gene Expression Market Key Vendors?
QIAGEN, Quest Diagnostics Incorporated, F. Hoffmann-La Roche Ltd, are key players in the Gene Expression market.
Which geographical areas dominate the worldwide market for Gene Expression?
North America region are emerging as the top regional markets for Gene Expression solutions.
1.SUMMARY
1.1. Gene Expression Market Overview
1.2. Key Insights
1.3. Report Scope
1.4. Research Methodology
1.5. Frequently Asked Questions
1.6. Chapter Outlines
- DECISION-MAKING SUMMARY
- INTRODUCTION
3.1. Overview of Gene Expression
3.2. Key Historical Events
3.3. Structure
3.4. Biochemical Interaction
3.5. Target Indications
3.6. Advantages of Gene Expression
3.7 Challenges associated with Gene Expression
3.8. Future Perspectives.
- MARKET LANDSCAPE
4.1. Methodology
4.2 Gene Expression: Developer Landscape
4.2.1. Analysis by Year of Establishment
4.2.2. Analysis by Company Size
4.2.3. Analysis by Location of Headquarters (Region-wise)
4.2.4. Analysis by Location of Headquarters (Country-wise)
4.2.5. Analysis by Year of Establishment, Company Size and Location of Headquarters (Region-wise)
4.2.6. Most Active Players
- COMPANY
5.1. Company Overview
5.1.2 Management Team
5.1.3. Product Portfolio
5.1.4. Recent Developments and Future Outlook
- PARTNERSHIPS AND COLLABORATIONS
6.1. Partnership Models
6.2. Gene Expression: Partnerships and Collaborations
6.2.1. Analysis by Year of Partnership
6.2.2. Analysis by Type of Partnership
6.2.3. Analysis by Year and Type of Partnership
6.2.4. Analysis by Type of Partner
6.2.5. Analysis by Year of Partnership and Type of Partner
6.2.6. Analysis by Type of Partnership and Type of Partner
6.2.7. Analysis by Type of Partner and Parent Company Size
- ACADEMIC GRANTS ANALYSIS
7.1. Methodology and Key Parameters
7.2. Gene Expression: Academic Grants Analysis
7.2.1. Analysis by Year of Grant Award
7.2.2. Analysis by Amount Awarded
7.2.3. Analysis by Funding Institute Center
7.2.4. Analysis by Support Period
7.2.5. Analysis by Funding Institute Center and Support Period
7.2.6. Analysis by Type of Grant Application
7.2.7. Analysis by Purpose of Grant
- PUBLICATION ANALYSIS
8.1. Analysis Methodology and Key Parameters
8.2. Gene Expression: Publication Analysis
8.2.1. Analysis by Year of Publication
8.2.2. Analysis by Type of Publication
8.2.3. Analysis by Type of Conjugate
8.2.4. Analysis by Target Indication
8.2.5. Analysis by Copyright Holder
8.2.6. Word Cloud: Emerging Focus Area
8.2.7. Most Active Publishers: Analysis by Number of Publications
- SUCCESS PROTOCOL ANALYSIS
9.1. Methodology and Key Parameters
9.2. Key Assumptions and Scoring Criteria
9.3. Success Protocol Analysis
9.4. Assessment of Approved Gene Expression
- Appendix 1: Tabulated Data
- Appendix 2: List of Companies
- QIAGEN
- Quest Diagnostics Incorporated
- Hoffmann-La Roche Ltd
- Illumina
- Novogene Corporationa
- PerkinElmer Inc.
- Bio-Rad Laboratories
- Thermo Fisher Scientific
- Agilent Technologies
- Promega Corporation
- Luminex Corporation
