Fee-for-service as a business model of growing importance: the academic biobank experience.

Biorepositories offer tremendous scientific value to a wide variety of customer groups (academic, commercial, industrial) in their ability to deliver a centralized, standardized service model, encompassing both biospecimen storage and related laboratory services. Generally, the scientific expertise and economies of scale that are offered in centralized, properly resourced research biobanks has yielded value that has been well-recognized by universities, pharmaceutical companies, and other sponsoring institutions. However, like many facets of the economy, biobanks have been under increasing cost pressure in recent years.

Automated Web-Based Request Mechanism for Workflow Enhancement in an Academic Customer-Focused Biorepository.

Informatics systems, particularly those that provide capabilities for data storage, specimen tracking, retrieval, and order fulfillment, are critical to the success of biorepositories and other laboratories engaged in translational medical research. A crucial item-one easily overlooked-is an efficient way to receive and process investigator-initiated requests. A successful electronic ordering system should allow request processing in a maximally efficient manner, while also allowing streamlined tracking and mining of request data such as turnaround times and numerical categorizations (user groups, funding sources, protocols, and so on).

Gene expression profiling of primary tumor cell populations using laser capture microdissection, RNA transcript amplification, and GeneChip microarrays.

Gene expression profiling from microdissected cell populations is a powerful approach to explore molecular processes involved in development and solid tumor biology. In this chapter, we detail robust and validated methods for tissue preparation and isolation of high-quality RNA from microdissected cell populations. A protocol is also provided for linear transcript amplification using as little as 10 ng of total RNA to produce labeled cRNA targets for hybridization to GeneChip high-density oligonucleotide microarrays.