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Identification of aberrant gene expression during breast ductal carcinoma in situ progression to invasive ductal carcinoma.

Guiqin Song | Lang He | Xiaolin Yang | Yan Yang | Xiaoming Cai | Kang Liu | Gang Feng
The Journal of international medical research | 2020

It has been reported that 80% of all breast carcinoma cases are invasive ductal carcinoma (IDC), and 45% to 78% of invasive breast carcinoma cases are associated with ductal carcinoma in situ (DCIS). Therefore, it is important to gain insights into transcriptome changes that occur during DCIS progression to IDC.

Pubmed ID: 30712460

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Entrez Gene (tool)

RRID:SCR_002473

Database for genomes that have been completely sequenced, have active research community to contribute gene-specific information, or that are scheduled for intense sequence analysis. Includes nomenclature, map location, gene products and their attributes, markers, phenotypes, and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases. All entries follow NCBI's format for data collections. Content of Entrez Gene represents result of curation and automated integration of data from NCBI's Reference Sequence project (RefSeq), from collaborating model organism databases, and from many other databases available from NCBI. Records are assigned unique, stable and tracked integers as identifiers. Content is updated as new information becomes available.

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Oncomine Research Platform (tool)

RRID:SCR_007834

Oncomine Research Platform is a partially-commercial suite of products for online cancer gene expression analysis dedicated to the academic and non-profit research community. Oncomine combines a rapidly growing compendium of 20,000+ cancer transcriptome profiles with a sophisticated analysis engine and a powerful web application for data-mining and visualization. Oncomine facilitates rapid and reliable biomarker and therapeutic target discovery, validation and prioritization. Oncomine was developed by physicians, scientists, and software engineers at the University of Michigan and is now fully supported for the academic and non-profit research community by Compendia Bioscience.

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LIMMA (tool)

RRID:SCR_010943

Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.

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