Application of RBPJ as drug target in preparation of drug for inhibiting T cell depletion
A cell, drug technology, applied in the field of medicine
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Embodiment 1
[0052] Example 1 Acquisition of clinical samples of colorectal cancer and single-cell library construction and sequencing
[0053] The colorectal cancer samples with polyps in the clinical surgical resection were selected, the patients had not received any treatment, and the tumor had no distant metastasis. A total of 11 tissue samples from 3 colorectal cancer patients with colorectal polyps were collected, including peripheral blood, normal intestinal tissue, polyps, and tumor tissue, for single-cell sequencing (see figure 1 ). figure 1 In , the boxed part of P1 and P3 represents Normal, Cancer and Polyp from left to right; the boxed part of P2 represents Para-cancer, Normal, Cancer and Polyp from left to right.
[0054] Various tissues were collected according to the following standards: Tumor tissues were collected in different ways according to the designated direction, the right 1 / 3 of polyp tissues were collected, intestinal tissues within 2 cm from the tumor were regar...
Embodiment 2
[0057] Embodiment 2 bioinformatics analysis
[0058] 1. Single-cell transcriptome sequencing data preprocessing
[0059] For the original sequencing fragments, we used Cell Ranger to compare them to the GRCh38 reference genome to obtain a gene expression matrix, and a total of 54,788 cells were detected. In order to correct the phenomenon of gene omission in single-cell sequencing, we used the scimpute R software package. During the use, except for setting the parameter k=15, other default parameters were used.
[0060] Subsequent data quality control was performed using the Seurat R software package. Genes were first filtered to exclude genes expressed in fewer than three cells, and cells were then filtered to exclude cells expressing fewer than 200 genes or with mitochondrial gene content greater than 25% of the total UMI count. After data filtering, 44,178 cells remained. Since the sequencing depth of different samples is not the same, it is necessary to normalize the da...
Embodiment 3
[0073] Embodiment 3 Design the inhibitor of RBPJ
[0074] As of September 2020, a total of nine crystal structures of RBPJ have been recorded in the RCSB Protein Data Bank (www.rcsb.org). Table 1 lists specific information about these structures, which were all obtained by X-ray diffraction. Four of them are of human origin, and the ligands that bind to RBPJ are mainly nucleic acids and other transcription factors, as well as small molecules that help stabilize protein structures.
[0075] Table 1 Currently available bioinformatics data for RBPJ structures
[0076]
[0077] The four human RBPJ crystal structures (PDBID: 6PY8, 3NBN, 3V79 and 2F8X) were overlaid, see Figure 5 Column 1 of the table; it is found that the difference in their RMSD values is less than ,See Figure 5 Column 2 of the table, indicating that the conformations are basically similar. Therefore, the 6PY8 crystal structure with the most complete structure was selected for subsequent analysis. F...
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