اكتشاف الحمض النووي الريبي منخفض الوفرة: كيف تلتقط منصة تصوير هلام RNA عالية الحساسية النطاقات الضعيفة

The Challenge of Visualizing Scarce RNA Molecules

In molecular biology research, RNA analysis presents unique challenges. RNA is more unstable than DNA so is more difficult to work with, being more easily degraded and generally present in smaller quantities. This is true of many important classes of RNA, like miRNAs, non-coding RNA, or RNA transcripts with low expression. Because these molecules are difficult to work with, it is imperative to have the ability to visualize these macromolecules.

[GelGenie: an AI-powered framework for gel electrophoresis image analysis]

This difficulty is underscored by a few recent advances resulting from the previously described phenomena. To start in 2025, researchers including M. Aquilina presented the GelGenie. GelGenie is a manual gel image analyzer. Included with GelGenie is an imaging solution designed to remove manual labor from the imaging process. In 2026, Y. Cheng and authors describe a highly sensitive method to detect low abundance circulating tumor RNA (ctRNA) from a blood sample in a Nature Communications publication. Their study reported a required sensitivity level of 0.059 ppm.

Why is Detecting Low Expressed RNA Bands Complicated?

Several factors contribute to the difficulty in visualizing RNA bands. Here's how I'd explain your observations.

• Insufficient Quantity: Transcription levels are low and therefore fluorescent levels are too and may be undetectable by your imaging system.

• High Background: When fluorescence e RNA signal is weak, the RNA signal may be masked by background fluorescence and non-specific staining.

• RNA Fragmentation: RNase, being one of the most non-specific, contaminating enzymes from the sample prep steps, can degrade RNA and cause fragmented/smeared RNA signal across multiple bands.

• Stains: RNA stains require matching excitation wavelength specific to the dye used to obtain a strong signal.

• A high-performance RNA Gel Imaging Platform with proprietary hardware and thoughtful design are the solutions to these problems.

Key Technologies for RNA Detection

1. High-Sensitivity CMOS Camera

Detection systems are the foundation of modern RNA Gel Imaging Platforms. Scientific-grade CMOS cameras, with:

• 6.3+ megapixel (MP) for fine detail of bands

• 66 dB signal-to-noise for true signal detection amid noise

• Lower levels of exposure for overexposed background bands

Longlight Technology's Gel Imaging System GI-200 uses a 6.3 MP high-sensitivity CMOS camera and provides clear bands even in low-light conditions.

2. Multi-Source LED Excitation

There is a tradeoff among different RNA stains and their excitation maxima. A versatile, integrated system should offer:

• Trans-UV (302 nm): Ethidium Bromide and GelRed

• Trans-blue (470 nm): SYBR Green II and SYBR Safe are safer for the user and the sample

• Trans-white: Colorimetric protein stains and colony counting

This system ensures optimal excitation of any RNA dye.

Recent Breakthroughs in the Detection of Low-Abundance RNA

There have been rapid advancements in the sensitivity of RNA detection.

1. STALARD Method (2025)

The STALARD method (Selective Target Amplification for Low-Abundance RNA Detection) is a two-step RT-PCR method to amplify a target RNA of choice among polyadenylated RNAs that share a 5' end sequence. The STALARD method was able to successfully detect the low-abundance VIN3 transcript and the even lower COOLAIR transcript in Arabidopsis thaliana and resolve issues from previous studies.

[STALARD: Selective Target Amplification for Low-Abundance RNA Detection | Plant Methods | Springer Nature Link]

2. The SE-SPTM-PCR Platform (2026)

In recent studies, a publication in Nature Communications (2026) by M. Aquilina and others, developed the SE-SPTM-PCR platform, which combines selective miRNA enrichment with terminal selective probe RT-qPCR. This system achieved 100-fold higher sensitivity than conventional stem-loop RT-qPCR. In clinical studies, it improved the AUC for colorectal cancer detection using hsa-miR-92a-3p from 0.72 to 0.85 across 96 patients .

[A selective enrichment and specific probe terminal mediated strategy for

highly sensitive detection of microRNAs | Nature Communications]

These advances underscore a critical point: detection method sensitivity must be matched by imaging system sensitivity. Even the best amplification strategy requires reliable visualization.

How GI-200 Enhances Low-Abundance RNA Visualization

تقنية Longlight's Gel Imaging System GI-200 incorporates design features specifically beneficial for RNA applications.

1. Intelligent Image Processing

The self-developed software supports:

• Automatic exposure: Optimizes capture time based on signal intensity

• Auto-focus: Eliminates user-to-user variability

• Image enhancement: Improves contrast without distorting quantitative data

Users simply click the photo button, reducing data processing time and improving efficiency .

2. All-in-One Integration

The GI-200 features a 12.1-inch touch display with onboard image processing, eliminating the need for an external computer. This saves both space and time during processing. It's particularly useful for working with RNA since the contamination risk is higher.

3. Safety for Gel Excision

Safety is critical when excising RNA bands for use in RT-qPCR, sequencing, cloning, etc.:

• Supports external gel cutting for more precise band extraction

• Covers UV-shielded cutting plate to protect users from hazardous UV exposure

• Compatible with blue light mode for safer and non-harmful visualization of samples that will undergo functional assays

Practical Advice to Improve RNA Gel Imaging

To ensure the greatest potential for success when using the RNA Gel Imaging Platform, consider the following:

The Pipeline for Low-Abundance RNA Imaging

New research suggests the following:

• AI systems analysis: GelGenie can perform automated gel band detection in a wide variety of experimental setups

• Multiplexed imaging: SATA-FISH systems allow for sensitive detection of short RNA sequences in FFPE tissue

• Single-molecule resolution: QD-based FRET reporter probes allow for detection of intracellular mRNA at 35 fM

As these systems advance, there will be a corresponding increase in demand for high-sensitivity RNA Gel Imaging Platforms.

الخاتمة

Detecting low-abundance RNAs still presents various difficulties within the life sciences. Advances combining sensitive detection chemistries, powerful amplification, and advanced imaging can now make it possible to detect and quantify the rarest of transcripts.

The GI-200 Gel Imaging System from Longlight Technologies is among the first imaging systems designed with the needs of current RNA research in mind. By incorporating a 6.3 MP high-sensitivity CMOS camera, multiple excitation sources, and advanced imaging automation, the GI-200 provides everything a lab needs to stretch the potentials of RNA research.

Would you like to see the GI-200 in action?

[Request a Free Quote] | Experience the Benefits | Download the Specs

الأسئلة الشائعة

Q1. Can I use the same RNA Gel Imaging system for DNA gels too?

Of course. Modern imaging systems can switch between RNA and DNA gels by changing the excitation source and the imaging dye.

Q2. What is the lowest amount of RNA that can be detected?

With a 6.3 MP CMOS camera and a 66 dB SNR, systems such as the GI-200 can detect RNA at the pg-level.

Q3. Is blue light better than UV for RNA imaging?

Blue light is a safer and less damaging excitation source for RNA than UV, especially for RNA that is to be used in downstream applications.

Q4. Will I need a denaturing gel for RNA imaging?

Yes. Denaturing gels use formaldehyde or urea and allow for accurate size-based separations without RNA secondary structure.

Q5. How does automatic exposure work for faint RNA bands?

Automatic exposure optimizes the exposure time for signals that need to be pulled from the noise, while preventing overexposure of the imaging field.