In recent years, the field of RNA biology has experienced explosive growth. With the deepening of research into epigenetics and gene regulation, non-coding RNAs (ncRNAs) have been demonstrated to be the "invisible operators" of gene regulatory networks. They not only participate in cell fate decisions but are also closely linked to major pathological mechanisms such as cancer and neurodegenerative diseases. However, traditional RNA-Seq technology is limited by two major bottlenecks:
Capture blind spots: Reliance on poly(A) tail enrichment strategies leads to 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 minutes, such as stress response transcripts.
Although emerging technologies such as BrU-Seq and NET-Seq attempt to break through these limitations, 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, making it easier to produce innovative results that are unique to others.
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 marking 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, enabling 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.
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, revealing the response mechanisms of key regulatory molecules and signaling pathways. For example, it can study changes in lncRNA networks regulated by hypoxia-inducible factor (HIF) in the tumor microenvironment.
Able to Tumor tissue 、 Neurodegenerative disease models and Metabolic disease research Identify specific ncRNA molecules with diagnostic and prognostic value, helping to Biomarker screening and Molecular typing studies .
By dynamically monitoring the cell transcriptome before and after drug treatment, we can capture the changes caused by drug effects. 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.
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
Delivery time: Delivery within 10 working days after the trial activity ends
Limited places available, first come first served!
Product details consultation/product trial scan code application: