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RNA Amplification Kits Market size is expected to reach US$ 7.26 Bn. by year 2027 at a CAGR of 20% during the forecast period.   To Get More: https://lnkd.in/deBfRE_b   #RNA #Amplification Kit is used to uniformly and reproducibly amplify limited amounts of non-degraded as well as degraded RNA to provide sufficient template for quantitative Polymerase Chain Reaction (PCR) of selected genes. RNA amplification kits enable researchers to #perform molecular analysis on RNA samples that, until now, have been too small for microarray analysis.   #RNA is amplified up to 1,000-fold in one synthesis round and up to 1,000,000-fold in two rounds for high-efficiency, high-fidelity linear amplification.Amplification kits used to generate biologically relevant results with cDNA and oligonucleotide array platforms by transcription process. #Researchers mostly use amplification kits for many purposes like gene expression analysis as well as to generate #biologically relevant results with cDNA and oligonucleotide array platforms.   #RNA #amplification kits present RNA sequencing of the given sample that effectively eliminates errors introduced during #RNA library preparation and sequencing. RNA amplification kits help in investigations of transcriptional fidelity and epimutations in viral evolution, #bacterial resistance, and age-related diseases, such as cancer and neurodegeneration.   RNA Amplification Kits Market, By Application • RNA, Technology and IP Attorneys Extraction • Reality Canty-Time PCR • RNA, Technology and IP Attorneys Sequencing • Transcriptome Sciences Inc. Analysis • RNA, Technology and IP Attorneys Microarray Analysis   #RNAAmplification #Kits #MolecularBiology #Biotechnology #Research #Genomics #Transcriptomics #RNASequencing #PCR #DNATechnology #LabSupplies #BiomedicalResearch #GeneExpression #RNAAnalysis #LaboratoryEquipment #LifeSciences #MedicalResearch #BiotechTools #RNAManipulation #BiomolecularAnalysis  

RNA Amplification Kits Market size is expected to reach US$ 7.26 Bn. by year 2027 at a CAGR of 20% during the forecast period.   To Get More: https://lnkd.in/deBfRE_b   #RNA #Amplification Kit is used to uniformly and reproducibly amplify limited amounts of non-degraded as well as degraded RNA to provide sufficient template for quantitative Polymerase Chain Reaction (PCR) of selected genes. RNA amplification kits enable researchers to #perform molecular analysis on RNA samples that, until now, have been too small for microarray analysis.   #RNA is amplified up to 1,000-fold in one synthesis round and up to 1,000,000-fold in two rounds for high-efficiency, high-fidelity linear amplification.Amplification kits used to generate biologically relevant results with cDNA and oligonucleotide array platforms by transcription process. #Researchers mostly use amplification kits for many purposes like gene expression analysis as well as to generate #biologically relevant results with cDNA and oligonucleotide array platforms.   #RNA #amplification kits present RNA sequencing of the given sample that effectively eliminates errors introduced during #RNA library preparation and sequencing. RNA amplification kits help in investigations of transcriptional fidelity and epimutations in viral evolution, #bacterial resistance, and age-related diseases, such as cancer and neurodegeneration.   RNA Amplification Kits Market, By Application • RNA, Technology and IP Attorneys • Centre for Molecular Biology Research Bhopal (REAL TIME PCR, PCR and other molecular technique) • DNA RNA Sequencing • Transcriptome Analysis • RNA Microarray Analysis   #RNAAmplification #Kits #MolecularBiology #Biotechnology #Research #Genomics #Transcriptomics #RNASequencing #PCR #DNATechnology #LabSupplies #BiomedicalResearch #GeneExpression #RNAAnalysis #LaboratoryEquipment #LifeSciences #MedicalResearch #BiotechTools #RNAManipulation #BiomolecularAnalysis

📣"EditForce achieved selective enhancement of translation from target mRNA in human cells" Through our collaborative research with Professor Takahiro Nakamura, we have pioneered the development of PPR technology, selectively enhancing translation from the specific mRNA in human cells. The successful demonstration of this technology’s efficacy is a significant milestone. This study indicates a versatile technology applicable to various endogenous mRNAs and is expected to contribute to research and development of treatments for various genetic diseases that were difficult to treat with conventional technologies. Here is the link: https://lnkd.in/gs5WjaHr Translational enhancement of target endogenous mRNA in mammalian cells using programmable RNA-binding pentatricopeptide repeat proteins. Sci Rep 14, 251 (2024).

𝐍𝐞𝐰, 𝐃𝐍𝐀-𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐭 𝐆𝐞𝐧𝐞 𝐄𝐝𝐢𝐭𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐂𝐨𝐮𝐥𝐝 𝐒𝐡𝐢𝐟𝐭 𝐭𝐡𝐞 𝐏𝐚𝐫𝐚𝐝𝐢𝐠𝐦 𝐨𝐟 𝐏𝐫𝐞𝐜𝐢𝐬𝐞 𝐄𝐝𝐢𝐭𝐢𝐧𝐠 Prime editors combine the DNA-scanning capabilities of CRISPR-Cas with a reverse transcriptase enzyme to introduce single-base edits in DNA without generating double-strand breaks. However, limitations exist surrounding their efficiency, adaptability, and precision. Recent studies carried out by two groups of researchers in the US address several of those issues by replacing the reverse transcriptase with a DNA-dependent DNA polymerase, which permits the use of DNA instead of RNA as a template for editing. Read more in our recent interview with Ben Kleinstiver, Connor Tou, and Joana Ferreira da Silva at Mass General Hospital & Harvard Medical School, and Erik Sontheimer at RNA Therapeutics Institute at UMass Chan Medical School. https://lnkd.in/eHa24M8v #crisprmedicine #crisprmedicinenews #geneediting #primeediting #crisprcas9

🔬 Exploring the Dual Functions of RNA: Insights from Recent Research I recently came across a fascinating article titled "When one is better than two: RNA with dual functions" that offers a thought-provoking perspective on RNA biology. This paper sheds light on the concept of bifunctional RNA—molecules that possess both coding and non-coding capabilities. It challenges the traditional classification of RNA into strict coding (mRNA) and non-coding (ncRNA) categories. In my research, I investigate the mechanisms that regulate the stability of long noncoding RNAs (lncRNAs), including how their association with ribosomes and translational control mechanisms, such as Codon Optimality Mediated Decay (COMOD), affect their stability. This often leads to the question: if lncRNAs are noncoding, why do they interact with ribosomes? This review provides valuable insights and an eloquent answer to this question. It suggests that many RNAs traditionally labelled as non-coding might actually have the potential to encode proteins, while some mRNAs, typically seen as coding, can also function in structural or regulatory roles. Here are a few key takeaways from the paper: Reevaluation of RNA Classification: The paper proposes that our current RNA classification might be too simplistic. Bifunctional RNAs could lead to new ways of categorizing RNA functions, enriching our understanding of molecular biology. Bifunctional RNA is defined in the paper as RNA that carries both RNA- translatable (coding) and RNA-intrinsic (non-coding) functions. This means that these RNA molecules can perform roles typically associated with both coding RNA (such as mRNA that encodes proteins) and non-coding RNA (which may have regulatory or structural functions) Gene Regulation Insights: These bifunctional RNAs might impact gene expression in complex ways, influencing not just their coding counterparts but also other co-expressed genes. This could reshape our approach to studying gene networks and regulation. Therapeutic Potential: The ability to create bifunctional RNA for gene therapy opens exciting possibilities. Evolutionary Perspectives: Understanding how bifunctional RNAs evolve could reveal mechanisms behind gene function acquisition and the emergence of new traits. Functional Studies: The dual nature of RNA necessitates in-depth functional evaluations, potentially uncovering new biological pathways and mechanisms. Impact on Disease Understanding: Bifunctional RNAs might play roles in various diseases, including cancer, offering new avenues for biomarkers and therapeutic targets. This paper underscores the complexity of RNA functions and highlights the need for continued research. As we advance in our understanding, it may reshape our approaches to gene regulation and therapeutic strategies. 🌟 Feel free to check out the article and share your thoughts! #RNA #BifunctionalRNA #MolecularBiology #Genetics #Research #Therapeutics #Science https://lnkd.in/dHS5g76T

Epitranscriptomic Detection Technologies Accurate detection of RNA modifications is essential for improving our understanding of epitranscriptomics. Several #detection technologies have been developed and each technology has its unique advantages and challenges. Traditional methods, such as #MeRIP-seq (methylated RNA immunoprecipitation sequencing) and #m6A-seq, rely on antibody-based enrichment to isolate modified RNA fragments followed by next-generation sequencing. These technologies have successfully mapped m6A and other modifications across the transcriptome, but it can be biased and have limited resolution. Emerging technologies, such as #nanopore sequencing and direct RNA sequencing, offer innovative detection methods. For example, nanopore sequencing detects RNA modifications in real time by measuring changes in electrical signals as RNA molecules pass through nanopores, thus allowing direct and high-resolution mapping without chemical conversion or enrichment steps. Another promising approach is to analyze RNA modifications using #mass spectrometry. This technology has high sensitivity and specificity, and is able to identify a wide range of modifications, including less abundant ones. In addition, #single-cell sequencing technologies are also being developed, which are mainly used to capture RNA modifications at the level of individual cells, providing insights into cellular heterogeneity and dynamic modification patterns. Despite these advances, challenges still remain in achieving higher sensitivity and specificity, distinguishing similar modifications, and understanding the functional implications of these modifications in various biological contexts. It is expected that continued innovation in detection technology will be critical to uncovering the complexity of RNA modifications and their roles in gene regulation and disease. References [1] Ken Ofusa et al., American Journal of Physiology 2022 (https://lnkd.in/ePwZt4fV) [2] Yan Zhang et al., Experimental & Molecular Medicine 2022 (https://lnkd.in/eg7YbA9s) #Epitranscriptomics #DetectionTechniques #RNAmodifications

🧬 NGS-based RNA-sequencing: Decoding the Transcriptome Revolution 🔬 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐯𝐞 𝐏𝐃𝐅: https://lnkd.in/dXns4Phy As the NGS-based RNA-sequencing market surges from $2.5 billion in 2022 to a projected $5.5 billion by 2027 (CAGR of 17.2%), let's explore this game-changing technology and its applications: What is NGS-based RNA-seq? A powerful technique that uses next-generation sequencing to reveal the presence and quantity of RNA in a biological sample at a given moment, providing a dynamic picture of cellular activity. Key Applications: 1️⃣ De Novo Transcriptomics   • Discovering novel transcripts and gene structures   • Ideal for non-model organisms   • Uncovering alternative splicing events 2️⃣ Epigenetics   • Mapping RNA modifications (epitranscriptomics)   • Studying non-coding RNAs and their regulatory roles   • Investigating chromatin-RNA interactions 3️⃣ Small RNA Analysis   • Profiling miRNAs, siRNAs, and other small RNAs   • Understanding gene regulation mechanisms   • Exploring potential biomarkers and therapeutic targets Additional Applications: • Differential gene expression analysis • Single-cell RNA sequencing • Fusion gene detection in cancer research Benefits: • High sensitivity and specificity • Comprehensive transcriptome coverage • Ability to detect novel transcripts • Quantitative expression measurement Challenges: • Complex data analysis and interpretation • Handling large datasets • Minimizing technical biases 𝐓𝐡𝐞 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐫𝐞𝐩𝐨𝐫𝐭 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: Illumina QIAGEN PerkinElmer Eurofins Scientific Finland Oy Oxford Nanopore Technologies Agilent Technologies BGI Group GENEWIZ from Azenta Life Sciences Hamilton Company Nugen Technologies (Pty) Ltd Psomagen Wohlfahrtsstiftung der F. Hoffmann-La Roche AG Thermo Fisher Scientific Takara Bio USA, Inc. Zymo Research Corp Lucigen Corp. Genotypic Technology Becton, Dickinson and Company The Future: As technology advances, expect to see improvements in single-cell and spatial transcriptomics, long-read RNA sequencing, and integration with multi-omics approaches for a more comprehensive understanding of biological systems. #RNAseq #Genomics #Transcriptomics #Bioinformatics #MolecularBiology

RNA-Seq or RNA sequencing, is a powerful technique used in molecular biology to analyze the transcriptome of cells. The transcriptome refers to the complete set of RNA transcripts (mRNA, non-coding RNA, etc.) produced by the genome of an organism or a specific tissue under certain conditions. RNA-Seq data can be analysed differently to get better insights into the objective of your study. The major analysis that can be done through RNA-Seq are: 1. Gene expression analysis: By measuring mRNA expression levels at the transcriptome level, differentially expressed genes under varying conditions can be identified, unveiling gene regulatory networks and signal pathways. 2. Non-coding RNA research: RNA-seq can facilitate the discovery and analysis of non-coding RNAs, such as miRNAs and lncRNAs, which play essential roles in gene regulation, epigenetics, and disease occurrence. 3. Variant Calling: The RNA-Seq data can be used to analyse the single nucleotide polymorphisms (SNPs) that occur in a diseased state and maybe its probable cause. 3. Functional analysis: The RNA-Seq data can be used to identify the upregulated and downregulated pathways in a specific condition through gene set enrichment analysis (GSEA). 4. Evolution studies: RNA-Seq data can be used to compare gene expression spectrums amongst different species or populations, thereby investigating gene function evolution and differentiation. 5. Metagenomics: 16S rRNA sequencing can be used to identify the microbial concentrate present in a specific condition and determine the microbial dysbiosis which can be a possible trigger for a disease. Integrate RNA-Seq data analysis with other powerful bioinformatics workflows like system biology, and computer-aided drug discovery to get more accurate and novel findings. Explore the world of RNA-Seq data with me now. #RNASeq #NGS #DEGs #VariantCalling #Metagenomics #ncRNAs

CRISPR RNA–guided nucleases have enabled programmable genome edits with significant medical benefits. CRISPR-guided RNA cleavage is repaired by the RNA ligase RtcB. This cut-and-repair mechanism has been proven successful in repairing a disease-causing nonsense mutation that leads to cystic fibrosis in human cells. This breakthrough allows for precise RNA edits, offering therapeutic potential without permanent genome alterations. Read more Repair of CRISPR-guided RNA breaks enables site-specific RNA excision in human cells https://lnkd.in/efrAnJxi #MinneBio #RNACRISPR