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Transcription profiling of normal amplified samples from cancer patients vs. a common reference (part of a set of 5 experiments

ABSTRACT: Breast tissue normal. BC-N denotes non-tumor breast tissue samples from breast cancer patients, BC-NRm denotes normal breast tissue samples from reduction mammoplasties.

ORGANISM(S): Homo sapiens

SUBMITTER: Nicolau M

PROVIDER: S-ECPF-SMDB-3961 | biostudies-other | 2007 Apr

REPOSITORIES: biostudies-other

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Transcription profiling of normal amplified samples from cancer patients vs. a common reference (part of a set of 5 experiments

Project description:Breast tissue normal. BC-N denotes non-tumor breast tissue samples from breast cancer patients, BC-NRm denotes normal breast tissue samples from reduction mammoplasties.

2007-03-07 | E-SMDB-3961 | biostudies-arrayexpress

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Block Design with Common Reference Samples Enables Robust Large-Scale Label-Free Quantitative Proteome Profiling.

Project description:Label-free quantitative proteomics has become an increasingly popular tool for profiling global protein abundances. However, one major limitation is the potential performance drift of the LC-MS platform over time, which, in turn, limits its utility for analyzing large-scale sample sets. To address this, we introduce an experimental and data analysis scheme based on a block design with common references within each block for enabling large-scale label-free quantification. In this scheme, a large number of samples (e.g., >100 samples) are analyzed in smaller and more manageable blocks, minimizing instrument drift and variability within individual blocks. Each designated block also contains common reference samples (e.g., controls) for normalization across all blocks. We demonstrated the robustness of this approach by profiling the proteome response of human macrophage THP-1 cells to 11 engineered nanomaterials at two different doses. A total of 116 samples were analyzed in six blocks, yielding an average coverage of 4500 proteins per sample. Following a common reference-based correction, 2537 proteins were quantified with high reproducibility without any imputation of missing values from 116 data sets. The data revealed the consistent quantification of proteins across all six blocks, as illustrated by the highly consistent abundances of house-keeping proteins in all samples and the high levels of correlation among samples from different blocks. The data also demonstrated that label-free quantification is robust and accurate enough to quantify even very subtle abundance changes as well as large fold-changes. Our streamlined workflow is easy to implement and can be readily adapted to other large cohort studies for reproducible label-free proteome quantification.

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HNSCC samples vs. normal tonsil samples: reference design

Project description:transcription profiling of human head and neck squamous cell carcinoma (HNSCC) samples vs. normal tonsil samples using a two-color reference design experimental setting. Used to identify differentially expressed genes in tumor/normal samples, and compare the result to that of the same samples using the self-self hybridization experimental setting. Keywords: tumor/normal comparison 8 HNSCC tumor samples and 8 normal tonsil samples. One sample per array. Two-color reference design with a common reference sample (a modified version of the Stratagene Human Universal Reference) on each array.

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Analyzing Thalamocortical Tract-Tracing Experiments in a Common Reference Space.

Project description:Current mesoscale connectivity atlases provide limited information about the organization of thalamocortical projections in the mouse brain. Labeling the projections of spatially restricted neuron populations in thalamus can provide a functionally relevant level of connectomic analysis, but these need to be integrated within the same common reference space. Here, we present a pipeline for the segmentation, registration, integration and analysis of multiple tract-tracing experiments. The key difference with other workflows is that the data is transformed to fit the reference template. As a test-case, we investigated the axonal projections and intranuclear arrangement of seven neuronal populations of the ventral posteromedial nucleus of the thalamus (VPM), which we labeled with an anterograde tracer. Their soma positions corresponded, from dorsal to ventral, to cortical representations of the whiskers, nose and mouth. They strongly targeted layer 4, with the majority exclusively targeting one cortical area and the ones in ventrolateral VPM branching to multiple somatosensory areas. We found that our experiments were more topographically precise than similar experiments from the Allen Institute and projections to the primary somatosensory area were in agreement with single-neuron morphological reconstructions from publicly available databases. This pilot study sets the basis for a shared virtual connectivity atlas that could be enriched with additional data for studying the topographical organization of different thalamic nuclei. The pipeline is accessible with only minimal programming skills via a Jupyter Notebook, and offers multiple visualization tools such as cortical flatmaps, subcortical plots and 3D renderings and can be used with custom anatomical delineations.

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Statistical inference from multiple iTRAQ experiments without using common reference standards.

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Project description: Not available

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Transcription profiling by array of 178 human breast cancer biopsy samples vs normal breast reference total RNA (Clontech) to identify exons associated with higher risk of relapse

Project description:We profiled breast cancer samples with exon arrays (244K Agilent Human exon) in order to identify exons associated with higher risk of relapse. This set contain 178 single dual color of samples (biopsies) versus normal breast reference (Normal breast Clontech) , 5 dye-swap (10 hybridizations) and 5 self self for controls.

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Project description:To evaluate the expression of genes associated with MYCN in NB, 10 tumors with MYCN amplification and 10 with normal MYCN copy number were subjected to oligonucleotide microarray using Agilent oligo microarray chips.

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Neuroblastoma: MYCN normal vs. MYCN amplified

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