Treatment method of undyed brain tissue section in laser capture fiber cutting technique
A technology of cutting technology and processing method, which is applied in the field of tissue slice processing in biotechnology, can solve problems such as the inability to accurately measure the expression of brain regions or nuclear proteins and mRNA, and the inability to clearly identify different brain regions or nuclear boundaries, etc., to achieve The effect of stable experimental results, strong repeatability, and easy process
Inactive Publication Date: 2017-05-10
INNER MONGOLIA MEDICAL UNIV
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like figure 1 As shown, although the brain tissue slices processed by this method are active, the boundaries of different brain regions or nuclei cannot be clearly identified, so the brain regions or nuclei cannot be completely removed, and the brain regions or nuclei proteins cannot be accurately determined. and mRNA expression
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[0020] The implementation of the present invention is described in further detail below. The following examples are only descriptive and not restrictive, and the protection scope of the present invention cannot be limited by this.
[0021] A method for processing unstained brain tissue slices in laser capture fiber cutting technology, the method includes the following steps:
[0022] (1) Stick a 5-7μm brain tissue section on a glass slide without RNase treatment;
[0023] (2) Immediately immerse the glass slide with brain tissue slices in 70% ethanol at 4°C for 5 minutes;
[0024] Among them, the immersion is processed in a microtome, and this step has the function of fixing tissue slices;
[0025] (3) Immerse the brain tissue slice after the above treatment in RNase-free water 5-6 times to remove the OCT embedding agent;
[0026] (4) The above-mentioned brain tissue slices after removing the OCT embedding agent were quickly immersed in 4°C, 70%, 95%, and 100% ethanol in sequence, twice ...
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The invention relates to a treatment method of an undyed brain tissue section in a laser capture fiber cutting technique. The treatment method comprises the following steps of (1) sticking a 5 to 7mu m brain tissue section onto a glass slide after RNase-free treatment; (2) immediately soaking into 70% alcohol for 5min at the temperature of 4 DEG C; (3) soaking into the RNase-free water for 5 to 6 times; (4) sequentially and quickly soaking into the concentration of 70%, 95% and 100% alcohol respectively for 1min twice; (5) soaking into xylene for 10min at a normal temperature; (6) drying in air for 10min, and storing the sample at the temperature of -20 DEG C. The treatment method has the advantages that the brain region or nucleus is clearly viewed, the boundary of the brain region or nucleus is clearly distinguished, thus the complete brain region or nucleus is accurately fetched out, meanwhile, the biological activity of the sample is not decreased; the experiment result is stable, the repetitiveness is strong, and the process is easily implemented.
Description
Technical field [0001] The invention belongs to the technical field of tissue slice processing in biotechnology, in particular to a processing method for unstained brain tissue slices in laser capture fiber cutting technology. Background technique [0002] Laser Capture Microdissection (LCM) is an automated sample preparation technology that allows specific cells to be separated from mixed samples under a microscope. The LCM technology can separate brain regions (or nuclei) from brain tissue samples according to application needs. But first, the brain tissue sample must be cut into 5-7μm slices, and then the laser capture area is set. Because the slices are very thin, it is difficult to clearly identify the boundaries of the brain area (or nucleus). Therefore, clearly identifying the boundaries of brain regions (or nuclei) is the key to determining the accuracy of specific protein and RNA content. If you use HE (Chinese name) staining, you can clearly identify different brain r...
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Login to View More IPC IPC(8): G01N1/30
CPCG01N1/30
Inventor 杨慧娣杨铮杨英
Owner INNER MONGOLIA MEDICAL UNIV