Logout
If you want to log out click in LogOut
LncRNA qPCR assays are designed to quantify long non-coding RNA expression with high specificity, supporting RNA-seq validation, biomarker research and focused gene expression studies.
Because lncRNAs are often expressed at low levels and may present complex transcript structures, reliable analysis requires carefully designed and experimentally validated qPCR assays.
AnyGenes® provides validated lncRNA qPCR assays, primer sets and qPCR array formats to support accurate expression analysis, RNA-seq validation and biomarker-focused research.
Primer design optimized for specificity, with exon-exon junction targeting whenever possible.
Available as individual primer sets, 96-well arrays, 384-well arrays or custom qPCR panels.
Designed to support reliable detection of low-abundance and structurally complex lncRNA targets.
Useful for confirming selected lncRNA candidates identified by transcriptomic screening.
Compatible with workflows involving limited RNA, FFPE samples, LCM samples or rare biological material.
Support from assay selection to experimental design and qPCR data interpretation.
Long non-coding RNAs present specific analytical challenges compared with protein-coding genes. Their expression levels are often low, their transcript structures can be complex, and some lncRNAs overlap with coding genes or nearby genomic regions that may affect assay specificity.
Many lncRNAs are expressed at low levels, requiring sensitive detection and optimized qPCR workflows.
Transcript diversity can complicate primer design and make qPCR result interpretation more difficult.
Some lncRNAs overlap with protein-coding genes or related genomic regions, increasing the risk of cross-amplification.
Low-expression lncRNAs can be difficult to detect with standard qPCR workflows, especially when working with limited RNA input, FFPE samples, LCM samples or single-cell material.
cDNA pre-amplification can be used before qPCR analysis to improve signal detection when transcript abundance is low or sample availability is limited.
The SpeAmp® system is designed to support the detection of low-abundance RNA targets while maintaining reproducible qPCR workflows for rare or limited samples.
AnyGenes® lncRNA qPCR assays are developed to support reliable quantification of long non-coding RNAs across a range of experimental contexts, including complex targets and challenging sample types.
These assays are designed with features that support reproducible gene expression analysis:
Together, these features help researchers quantify low-expressed or structurally complex lncRNAs with greater confidence.
RNA sequencing is widely used to identify candidate lncRNAs, differential expression signatures and potential biomarkers. However, selected RNA-seq findings often require targeted confirmation using a sensitive and reproducible method such as qPCR.
Validate selected lncRNA candidates identified by RNA-seq or transcriptomic screening.
Quantify lncRNA expression across biological conditions, sample groups or independent cohorts.
Support biomarker validation and help prioritize candidates for downstream functional studies.
AnyGenes® lncRNA qPCR assays are available in flexible formats to match focused validation, multi-target screening and custom biomarker research projects.
Validated assays for specific lncRNA targets, ideal for focused RNA-seq validation or candidate biomarker studies.
Ready-to-use panel formats for multi-target screening, pathway-oriented studies and comparative expression analysis.
Panels designed from your gene list, biological model and research objectives.
Selecting the most appropriate lncRNA qPCR assay depends on the biological question, target complexity, expected expression level and experimental workflow.
Consider transcript structure, isoforms and potential overlap with protein-coding genes or nearby genomic regions.
Evaluate RNA quality, available input amount, expected expression level and whether low-input strategies may be required.
Choose individual assays, qPCR arrays or custom panels depending on whether your project focuses on validation, screening or biomarker profiling.
LncRNA qPCR assays support targeted expression analysis in biomarker research, RNA-seq validation and mechanistic studies across multiple biomedical fields.
Study lncRNA candidates involved in tumor biology, diagnostic signatures and prognostic biomarker research.
Analyze lncRNAs associated with immune regulation, cytokine responses and inflammatory mechanisms.
Quantify lncRNA expression in cardiovascular disease models and biomarker discovery studies.
Explore lncRNA expression changes linked to neuronal function, neuroinflammation and disease mechanisms.
Confirm selected transcriptomic findings using targeted and reproducible qPCR assays.
Prioritize and validate candidate lncRNAs in translational and exploratory research projects.
LncRNA qPCR analysis can be limited by poor specificity, weak signal detection and transcript complexity. For low-abundance or overlapping targets, non-validated assays may generate inconsistent results or non-specific amplification.
Experimentally validated lncRNA qPCR assays help reduce these risks by combining targeted primer design, assay optimization and reproducible workflows adapted to complex RNA targets.
</p>
AnyGenes® supports lncRNA expression analysis with validated qPCR assays, flexible formats and scientific expertise in complex RNA targets.
Assays designed and validated by experienced molecular biology scientists to support reliable lncRNA quantification.
Available as individual primer sets, qPCR arrays or custom panels depending on your research objectives.
Assay design adapted to transcript complexity, isoform diversity and specificity challenges.
Support for low-abundance targets, limited-input samples and integration with SpeAmp® pre-amplification when needed.
Solutions adapted to targeted RNA-seq validation, biomarker research and comparative expression studies.
Technical guidance from assay selection and experimental design to qPCR workflow optimization and data interpretation.
AnyGenes® products and services are available internationally through a network of distributors and direct scientific support.
Researchers can contact the AnyGenes® team to identify the most appropriate lncRNA qPCR assay format, discuss sample constraints or request local distribution information.
Whether you need to validate RNA-seq results, analyze low-expression lncRNAs or explore new biomarker candidates, AnyGenes® can help you select the most appropriate lncRNA qPCR assay format for your project.
LncRNA qPCR assays are used to quantify long non-coding RNA expression levels, validate selected RNA-seq findings and support biomarker research.
LncRNAs can be difficult to analyze because they are often expressed at low levels, may have multiple isoforms and can overlap with coding genes or genomic regions.
Specificity can be improved by using validated primers, targeting exon-exon junctions whenever possible and optimizing assay conditions for each target.
Yes. LncRNA qPCR assays are commonly used to validate selected lncRNA candidates identified by RNA-seq and to confirm expression changes in independent samples.
AnyGenes® lncRNA qPCR assays are available as individual primer sets, 96- or 384-well qPCR arrays and custom qPCR panels based on selected gene lists.
Yes. Depending on the sample type and RNA input, lncRNA qPCR assays can be combined with pre-amplification strategies such as SpeAmp® to support low-input workflows.
Yes. LncRNA qPCR arrays can support targeted screening and validation of lncRNA biomarker candidates across biological conditions or sample groups.
Yes. AnyGenes® can help design custom qPCR panels based on selected lncRNA targets, species, biological models and research objectives.
Sample preparation depends on RNA quality, input amount and sample type. For limited, degraded or difficult samples, optimized reverse transcription and pre-amplification workflows may improve analysis reliability.
Yes. The AnyGenes® team can support assay selection, experimental design, workflow optimization and qPCR data interpretation.