Project description:Spatial tissue proteomics integrating whole-slide imaging, laser microdissection and ultrasensitive mass spectrometry is a powerful approach to link cellular phenotypes to functional proteome states in (patho)physiology. To be applicable to large patient cohorts and low sample input amounts, including single-cell applications, loss-minimized and streamlined end-to-end workflows are key. We here introduce an automated sample preparation protocol for laser microdissected samples utilizing the cellenONE® robotic system, which has the capacity to process 192 samples in three hours. Following laser microdissection collection directly into the proteoCHIP LF 48 or EVO 96 chip, our optimized protocol facilitates lysis, formalin de-crosslinking and tryptic digest of low-input archival tissue samples. The seamless integration with the Evosep ONE LC system by centrifugation allows ‘on-the-fly’ sample clean-up, particularly pertinent for laser microdissected workflows. We validate our method in human tonsil archival tissue, where we profile proteomes of spatially-defined B-cell, T-cell and epithelial microregions of 4,000 µm2 to a depth of ~2,000 proteins and with high cell type specificity. We finally provide detailed equipment templates and experimental guidelines for broad accessibility.
Project description:This study aims at the identification and characterization of early-state radiation-associated neoplastic processes by histologic and transcriptomic analyses of thyroid tissues derived from a mouse model. Comprehensive histological examination of 246 thyroids (164 exposed, 82 non-exposed) was carried out. Proliferative and normal tissues from exposed cases and normal tissue from non-exposed cases were collected by laser-capture microdissection, followed by RNAseq transcriptomic profiling using a low input 3`-library preparation protocol, differential gene expression analysis and functional association by Gene Set Enrichment Analysis.
Project description:Laser capture microdissection (LCM) provides a useful method for isolating specific cells or tissues from biological samples. Here, we adapted microdissection protocols to allow high-resolution transcript analysis of different tissues from developing Arabidopsis seed. However, to obtain enough RNA for microarray analyses it was necessary to amplify the RNA. Microarray analyses, using endosperm derived RNA amplified by two-round IVT, reproducibly identified endosperm enriched marker genes. Keywords: LCM Endosperm Arabidopsis
Project description:AP and phellogen gene expressions were compared with the cortex using microarrays. These tissues were isolated by laser capture microdissection (LCM).
Project description:This is the first report that establishes robust epidermal and dermal genomic signatures of lesional and nonlesional AD skin and normal skin compared with whole tissues. These data establish the utility of laser capture microdissection to separate different compartments and cellular subsets in patients with AD, allowing localization of key barrier or immune molecules and enabling detection of gene products usually not detected on arrays.
Project description:The purpose of this study is to obtain comprehensive gene expression profiles in breast cancer. Mammary gland cells were specifically isolated from 433 clinical tissue samples by laser capture microdissection (LCM). Total RNAs were extracted from LCM captured samples. We investigated gene expression profiles in 417 patients with breast cancer and 16 non-tumor tissues as a normal control using an Affymetrix GeneChip. Mammary gland cells were captured from clinical tissues of breast cancer patient by LCM. Gene expression profilings for 417 tumor and 16 non-tumor samples were acquired using GeneChip Human Genome U133 Plus 2.0 (Affymetrix, Santa Clara, CA). Microarray datasets were normalized and transformed to log2 values using robust multi-array average (RMA) method with R statistical software and BioConductor package.
Project description:We report an investigation of low-temperature embedding media in terms of their mechanical properties and embedding temperature, with the goal of determining a reliable embedding medium for the combination of MALDI MSI of lipids, laser-capture microdissection of tissue regions, and quantitative proteomics. We compared embedded and non-embedded tissues to ensure that the embedding media did not interfere with the analysis.
Project description:Fibrotic and nonfibrotic bronchial tissues were collected from lungs of pentandione exposed rats by laser capture microdissection. Analogous tissue was collected from air-exposed controls. Miroarray analysis revealed a number of DEGs
Project description:In vivo profiling of hypoxic gene expression in gliomas using the hypoxia marker EF5 and laser-capture microdissection We have employed the hypoxia marker EF5 coupled with laser capture microdissection to isolate RNA from viable hypoxic and normoxic regions of 9L experimental gliomas.
Project description:Here, we report an enrichment-based ultra-low input cfDNA methylation profiling method using methyl-CpG binding proteins capture, termed cfMBD-seq. We optimized the conditions of cfMBD capture by adjusting the amount of MethylCap protein along with using methylated filler DNA. Our data showed that cfMBD-seq performs equally to the standard MBD-seq (>1000 ng input) even when using 1 ng DNA as the input. cfMBD-seq demonstrated equivalent sequencing data quality as well as similar methylation profile when compared to cfMeDIP-seq. We showed that cfMBD-seq outperforms cfMeDIP-seq in the enrichment of CpG islands. This new bisulfite-free ultra-low input methylation profiling technology has a great potential in non-invasive and cost-effective cancer detection and classification.
