Heat stress is a state in which the body is exposed to heat for a long period and cannot adequately dissipate the heat from the body, resulting in an imbalance in body temperature. Only by understanding the specific mechanisms of heat stress can we target the research of corresponding anti-stress drugs to alleviate the current adverse effects of heat stress on animals and plants. With the advancement of miRNA detection technology, it has been found that heat stress leads to changes in miRNA expression. miRNAs can play an important role in regulating the life activities of the body and resisting heat stress by binding to their target genes and inhibiting the expression of miRNA target genes.
Fig. 1 The role of miRNAs in the heat stress response. (Keller, Schleiff & Simm, 2020)
As a leader in the field of cellular stress, Creative Bioarray provides our clients with services to detect the molecular mechanisms of miRNAs in heat stress. We can help our clients to screen the target genes of miRNAs during heat stress and thus determine the mechanism of action and the significance of miRNAs against heat stress.
Our miRNA testing services include miRNA quantification, target gene prediction, and target gene validation. Through these three steps, we can help our clients to screen the target genes of miRNAs in heat stress, to determine the mechanism of action and the significance of miRNAs against heat stress.
Advantages | Disadvantages | |
Northern blotting | Capable of detecting the amount and size of RNA in various tissues and organs as well as estimating its abundance. It is sensitive enough to detect the size of miRNA fragments and to exclude the interference of other small molecules of RNA in the experiment. | The amount of sample required is high and the steps are cumbersome. |
Microarray chip technology | The abundance of the corresponding gene can be determined by the intensity of the fluorescence signal. Large sample size | Is poor in stability and reproducibility of information and cannot distinguish between highly similar miRNA. |
In situ hybridization | It is possible to observe the expression time, distribution, and location of miRNAs more visually. | The traditional in situ hybridization technique needs to be improved to increase its affinity and binding firmness and to prevent molecular loss during elution, resulting in inaccurate results. |
qRT-PCR | One of the simplest methods for miRNA detection. High sensitivity and specificity, efficient detection of low expression miRNAs, suitable for high throughput screening | It is easy to cause distortion of miRNA expression after PCR amplification and also cannot predict unknown miRNAs. |
High throughput sequencing | Capable of direct high-throughput sequencing of miRNAs of a specific size in samples, it can study the expression profile of miRNAs without any miRNA sequence information, and discover and identify new miRNAs, and is the most widely used miRNA screening technology. | |
Electrochemical technology | The emerging miRNA detection technology is well suited for miRNA marker screening with high specificity and sensitivity, and this method can detect miRNA sequences with a detection limit of 1.2 FM | |
Microfluidic chip technology | Compared with traditional methods, it takes much less time and can accurately and rapidly detect unlabeled miRNAs within 20 min, making it suitable for POC diagnosis. |
After the quantitative detection of miRNAs by the above experimental methods, the differentially expressed miRNAs can be analyzed bioinformatically, and the resulting miRNAs can be analyzed and predicted by prediction software and miRNA database, which mainly focus on the binding and thermal stability of the target genes.
Since the sensitivity and specificity of the prediction software need to be improved, many times the target genes given are very many and difficult to be screened. The target genes were selected based on their biological functions.
Target gene validation is one of the most difficult stages in miRNA mechanistic studies. Target genes that meet the criteria are selected for target gene validation based on the free energy binding capacity of the predicted target genes as well as their biological functions.
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