In recent years, the field of RNA biology has experienced explosive growth. With the continuous deepening of research on epigenetics and gene regulation mechanisms, non-coding RNA (ncRNA) has been confirmed to be the "invisible operator" of gene regulatory networks. They are not only involved in cell fate decisions, but also closely related to major pathological mechanisms such as cancer and neurodegenerative diseases. However, traditional RNA-Seq technology is limited by two major bottlenecks:
Capture blind area: Reliance on the poly(A) tail enrichment strategy resulted in missed detection of non-coding RNA (lncRNA), enhancer RNA (eRNA) and circular RNA (circRNA).
Dynamic Missing: Existing technologies have difficulty capturing transient RNA with a half-life as short as a few minutes (such as stress response transcripts).
Although emerging technologies such as BrU-Seq and NET-Seq attempt to break through the shackles, these methods still face significant shortcomings in actual operation: Low capture efficiency, high background noise, complex library construction process and poor specificity , thus performing unsatisfactorily in highly complex biological systems.
High data scarcity: There is less competition in similar research, and it is easy to produce innovative results that "others do not have but I do";
There is great room for methodological innovation: Combining single-cell and spatial transcriptomics technologies can expand multidimensional research paradigms;
High-scoring articles have significant potential: From mechanism exploration to interdisciplinary applications, the research dimensions are diverse and more likely to be favored by reviewers.
3.1 Ultra-high capture efficiency
Click chemistry-based Efficient tagging strategy It can specifically bind to newly synthesized RNA molecules, significantly improving the capture efficiency of low-abundance and transient non-coding RNA.
3.2 High specificity and sensitivity
use Specific labeling and denoising strategies , effectively reducing background noise and improving data accuracy, allowing researchers to more accurately analyze the dynamic changes of the nascent transcriptome.
3.3 Dynamic Monitoring Capabilities
Able to monitor in real time Enhancer RNA (eRNA) , Long noncoding RNA (lncRNA) and transient RNA expression dynamics, revealing gene regulatory mechanisms and transcriptional dynamics characteristics.
3.4 Wide Applicability
Applicable to a variety of biological systems and experimental conditions, including Mammalian cell lines , Animal models , Plant tissue samples , providing comprehensive technical support for research in multiple fields.
3.5 Flexible Experimental Design
Suitable for a variety of experimental treatments, such as Drug stimulation , Hypoxic stress , Gene knockout , Signaling pathway activation and Changes in the physical environment (such as weightlessness experiments) , which can dynamically capture transcriptome changes.
Experimental Procedure
STAR-Click technology can analyze Dynamic changes of enhancer RNA (eRNA) in gene expression regulation, revealing the interaction mechanism between enhancers and promoters, and in-depth exploration of epigenetic regulation and Transcription factor binding Spatiotemporal specificity in the process.
exist Hypoxic stress , Heat shock response or Drug treatment Under these conditions, STAR-Click technology can monitor the dynamic expression profile of non-coding RNA in real time and reveal the response mechanism of key regulatory molecules and signal pathways. For example, it can study the changes of lncRNA network under the regulation of hypoxia-inducible factor (HIF) in the tumor microenvironment.
Can Tumor tissue , Neurodegenerative Disease Models and Metabolic disease research Identifying specific ncRNA molecules with diagnostic and prognostic value helps Biomarker Screening and Molecular typing study .
By dynamically monitoring the cell transcriptome before and after drug treatment, we can capture the changes caused by drug action. Changes in nascent noncoding RNA expression , helping to identify potential Target Gene and its regulatory network, which helps Drug target discovery and Mechanism Verification .
exist Embryonic development , Stem cell differentiation and Organ regeneration In this study, STAR-Click technology can be used to analyze cells at specific developmental stages or under differentiation-inducing conditions. Transcriptome changes , revealing the dynamic regulatory patterns of non-coding RNA during development.
In order to give back to the support of scientific researchers, Qihengxing Biotechnology will open the STAR-Click kit from now on Free trial channel .
cut Expiration date Expect: April 10, 2025
Application requirements: Feedback trial report required
Shipping time: Delivery within 10 working days after the trial ends
Limited places available, first come first served!
Product details consultation/product trial scan code application:
