Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of Papillary Thyroid Cancer tissue sample and adjacent normal tissue. The goals of this study are to analysis the different circRNAs expression between Cancer tissue sample and adjacent normal tissue. Quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. We performed circRNA-seq in Papillary Thyroid Cancer tissue sample and adjacent normal tissue. We found that through the deep sequencing of four pairs PTC and adjacent nontumor tissues, we identified 16569 circRNAs, 720 circRNAs were differentials expressed, among them, 301 upregulated and 419 downregulated.
Project description:Purposes: To investigate the biological function of tRF in breast cancer by tRF and tiRNA sequencing Methods: Breast cancer tissue samples and matched non-tumor adjacent tissues were obtained from five patients. Small RNA sequencing was performed on Illumina NexSeq instrument Results: If P ≤ 0.05, fold change ≥ 2 as the cut off, there were 3 up-regulated tRFs & tiRNAs and 13 down-regulated tRFs & tiRNAs. Conclusions:There were 3 up-regulated tRFs & tiRNAs and 13 down-regulated tRFs & tiRNAs in breast cancer tissue samples and matching adjacent tissue samples
Project description:Single cell RNA-sequencing has been applied to core and border regions of 9 colorectal tumors as well as to matched adjacent non-malignant colon tissue for the purpose of generating a cellular map of colorectal tumors and their tumor microenvironment.
Project description:We performed microarray expression profiling to analyze the differentially expressed genes between 19 human glioma tissues and corresponding adjacent non-tumor tissues.
Project description:We performed microarray expression profiling to analyze the differentially expressed genes between 5 human glioma tissues and corresponding adjacent non-tumor tissues.
Project description:Background: The majority of multi-omics studies make use of adjacent fresh-frozen tissue pieces for different analyses. This approach however is not considering the intrinsic tissue heterogeneity and can lead to a biological mismatch of different omics layers. To overcome this limitation, we here propose an alternative approach where tissue is cryogenically pulverized and lyophilized, obtaining a homogenous tissue powder that can be used for subsequent omics studies. The purpose of this study was to investigate how omics analysis differ or coincide when comparing adjacent tissue slices to homogenized powder using three major mammalian organs from a wildtype mouse model.
Methods: Healthy fresh-frozen and pulverized-lyophilized mouse tissue from brain, kidney, and liver was subjected to DNA methylation and genome sequencing (genomics), RNA sequencing (transcriptomics), protein (proteomics), and metabolite (metabolomics) analysis. Obtained analytical results were investigated by statistical and quality control measures, including dendrograms, correlation analysis, principal component analysis, RNA integrity, feature coverage, and energy charge estimation.
Results: DNA methylation was not affected differently by the two different tissue processing methods. The RNA integrity obtained was comparable between fresh-frozen tissue slicing and pulverization-lyophilization. The coverage of gene transcripts, proteins, and metabolites was preserved similarly by both methodological approaches. Overall the pulverization-lyophilization approach resulted in a reduced heterogeneity between biological replicates.
Conclusions: Cryogenically pulverized and lyophilized tissue preserves the most important cellular molecular features, such as RNA integrity, DNA methylation status, gene transcript, protein, and metabolite coverage. Therefore, it is a suitable alternative method for improved multi-omics analysis, providing reduced sample heterogeneity, beneficial for batch reproducibility, as well as easier transportation and storage conditions due to complete water removal.