Project description:Enriched tumor epithelium from 61 primary and metastasis tumor specimens was obtained by laser capture microdissection (LCM) as previously described (Boersma et al., 2007). In brief, frozen 8-μm serial sections from OCT-preserved frozen tissues were prepared and mounted on plain, uncharged microscope slides. One Hematoxylin/eosin-stained section of each specimen was reviewed by a pathologist to confirm diagnosis and presence of tumor. The pathologist indicated which representative sections of the tumors should be microdissected. LCM was performed with the Pixcell II LCM system (Arcturus, Mountain View, CA). Total RNA was isolated using the PicoPure protocol (Arcturus, Mountain View, CA). The mRNA was amplified with two linear amplification steps by in vitro transcription using the MEGAscript T7 kit (Ambion, Austin, TX) followed by the labeling step using the BioArray HighYield RNA Transcript Labeling Kit T3 from Enzo Life Sciences (Farmingdale, NY). Labeled cRNA was hybridized onto Affymetix GeneChip HG-U133 Plus 2.0 Arrays.
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. We report the identification of the hypoxic gene expression profile in a solid tumor using a prototypical hypoxia marker EF5, Laser Capture Microdissection (LCM) and Microarray Gene Expression Profiling (EF5-LCM-MGEP). We have utilized LCM to isolate total RNA from normoxic and hypoxic regions in the rat 9L glioma tumor model grown in its isogenic host (Fischer rat). Microarray analysis of the isolated RNA generated an in vivo hypoxia expression profile. For comparison, we also analyzed RNA samples isolated from rat 9L glioma cells in culture exposed to hypoxia or normoxia.
Project description:BackgroundEstrogen plays a central role in breast cancer pathogenesis. Although many studies have characterized the estrogen regulation of genes using in vitro cell culture models by global mRNA expression profiling, it is not clear whether these genes are similarly regulated in vivo or how they might be coordinately expressed in primary human tumors.ResultsWe generated DNA microarray-based gene expression profiles from three estrogen receptor alpha (ERalpha)-positive breast cancer cell lines stimulated by 17beta-estradiol (E2) in vitro over a time course, as well as from MCF-7 cells grown as xenografts in ovariectomized athymic nude mice with E2 supplementation and after its withdrawal. When the patterns of genes regulated by E2 in vitro were compared to those obtained from xenografts, we found a remarkable overlap (over 40%) of genes regulated by E2 in both contexts. These patterns were compared to those obtained from published clinical data sets. We show that, as a group, E2-regulated genes from our preclinical models were co-expressed with ERalpha in a panel of ERalpha+ breast tumor mRNA profiles, when corrections were made for patient age, as well as with progesterone receptor. Furthermore, the E2-regulated genes were significantly enriched for transcriptional targets of the myc oncogene and were found to be coordinately expressed with Myc in human tumors.ConclusionOur results provide significant validation of a widely used in vitro model of estrogen signaling as being pathologically relevant to breast cancers in vivo.
Project description:Mass spectrometry (MS)-based spatially resolved top-down proteomics (TDP) of tissues is crucial for understanding the roles played by microenvironmental heterogeneity in the biological functions of organs and for discovering new proteoform biomarkers of diseases. There are few published spatially resolved TDP studies. One of the challenges relates to the limited performance of TDP for the analysis of spatially isolated samples using, for example, laser capture microdissection (LCM) because those samples are usually mass-limited. We present the first pilot study of LCM-capillary zone electrophoresis (CZE)-MS/MS for spatially resolved TDP and used zebrafish brain as the sample. The LCM-CZE-MS/MS platform employed a non-ionic detergent and a freeze-thaw method for efficient proteoform extraction from LCM isolated brain sections followed by CZE-MS/MS without any sample cleanup step, ensuring high sensitivity. Over 400 proteoforms were identified in a CZE-MS/MS analysis of one LCM brain section via consuming the protein content of roughly 250 cells. We observed drastic differences in proteoform profiles between two LCM brain sections isolated from the optic tectum (Teo) and telencephalon (Tel) regions. Proteoforms of three proteins (npy, penkb, and pyya) having neuropeptide hormone activity were exclusively identified in the isolated Tel section. Proteoforms of reticulon, myosin, and troponin were almost exclusively identified in the isolated Teo section, and those proteins play essential roles in visual and motor activities. The proteoform profiles accurately reflected the main biological functions of the Teo and Tel regions of the brain. Additionally, hundreds of post-translationally modified proteoforms were identified.
Project description:We have analyzed the transcript expression in different LCM-dissected cell layers isolated from mouse retinas adapted to light or dark in order to identify transcripts potentially targetted by retinal microRNAs which are regulated in response to light treatment
Project description:Estrogen Receptor alpha (ERa) is the main driver of luminal breast cancer development and progression, and represents the main drug target in patient care. ERa chromatin binding has been extensively studied in breast cancer cell lines and a number of human tumors, often focused on differential binding patterns between groups or conditions. However, little is known about the inter-tumor heterogeneity of ERa chromatin action. Here, we use a large set of ERa ChIP-seq data from 70 ERa+ breast cancers (40 women & 30 men) to explore general inter-patient heterogeneity in ERa DNA binding in breast cancers. We found a total universe of 84,565 and 101,653 ERa sites in females and males respectively, with merely 1.2% and 5% of sites shared in at least half of the tumors analyzed, reflecting a high level of inter-patient heterogeneity. This heterogeneity was found to be most variable at putative enhancers as opposed to promoter regions, potentially reflecting a level of functional redundancy in enhancer action. Interestingly, commonly shared ERa sites showed the highest estrogen-driven enhancer activity, as determined using a massive parallel reporter assay, and were most-engaged in long-range chromatin interactions. In addition, the most-commonly shared ERa-occupied enhancers were found enriched for breast cancer risk SNP loci. We experimentally illustrate such SNVs can impact chromatin binding potential for ERa and its pioneer factor FOXA1. Finally, in the TCGA breast cancer cohort, we could confirm these variations to associate with differences in expression for the target gene. Cumulatively, our data reveal a natural hierarchy of ERa-chromatin interactions in breast cancers within a highly heterogeneous inter-tumor ERa landscape, with the most-common shared regions being most active and affected by germline functional risk SNPs for breast cancer development.