Project description:We report the application of Illumina paired-end RNA-seq approach for transcriptome of brain tissue in mice. By removing sequence-dependent bias and amplification noise using UMI-tools. The mapped reads of each sample were assembled using StringTie. After the final transcriptome was generated, StringTie and edgeR was used to estimate the expression levels of all transcripts. By obtaining a total of million paired-end reads of sequence from cerebral cortex tissue, we generated transcriptome profiles of mouse ischemic cortex in sham, 24 h after focal ischemia, 28 d after focal ischemia, with or without neuron-specific knockdown of TIPARP, respectively. We found 2017 differentially expressed genes (DEGs) between Sham+AAV-SYN-shRNA-Con and tMCAO+AAV-SYN-shRNA-Con group, and 516 DEGs between tMCAO+AAV-SYN-shRNA-Con and tMCAO+AAV-SYN-shRNA-TIPARP group at 24 h after stroke. In addition, we found 487 DEGs between Sham+AAV-SYN-shRNA-Con and tMCAO+AAV-SYN-shRNA-Con group, and 192 DEGs between tMCAO+AAV-SYN-shRNA-Con and tMCAO+AAV-SYN-shRNA-TIPARP group at 28 d after stroke. This study provides a detailed analysis of the underlying mechanisms of neuron-specific knockdown of TIPARP in neuronal injury and long-term effect, with biologic replicates, generated by RNA-seq technology.
Project description:We performed spatial transcriptomics sequencing (ST-seq) to resolve geographically defined transcriptome-wide gene expression within the tissue context of four human and six mouse kidneys. This application of ST-seq within healthy mammalian kidneys demonstrates the integration of transcriptional profiles with histology, and is a valuable data resource for the kidney community.
