The Utilization of Formalin Fixed-Paraffin-Embedded Specimens in High Throughput Genomic Studies

Joint Authors

Shyr, Yu
Lehmann, Brian
Zhang, Pan
Guo, Yan

Source

International Journal of Genomics

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-01-26

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Biology

Abstract EN

High throughput genomic assays empower us to study the entire human genome in short time with reasonable cost.

Formalin fixed-paraffin-embedded (FFPE) tissue processing remains the most economical approach for longitudinal tissue specimen storage.

Therefore, the ability to apply high throughput genomic applications to FFPE specimens can expand clinical assays and discovery.

Many studies have measured the accuracy and repeatability of data generated from FFPE specimens using high throughput genomic assays.

Together, these studies demonstrate feasibility and provide crucial guidance for future studies using FFPE specimens.

Here, we summarize the findings of these studies and discuss the limitations of high throughput data generated from FFPE specimens across several platforms that include microarray, high throughput sequencing, and NanoString.

American Psychological Association (APA)

Zhang, Pan& Lehmann, Brian& Shyr, Yu& Guo, Yan. 2017. The Utilization of Formalin Fixed-Paraffin-Embedded Specimens in High Throughput Genomic Studies. International Journal of Genomics،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1166994

Modern Language Association (MLA)

Zhang, Pan…[et al.]. The Utilization of Formalin Fixed-Paraffin-Embedded Specimens in High Throughput Genomic Studies. International Journal of Genomics No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1166994

American Medical Association (AMA)

Zhang, Pan& Lehmann, Brian& Shyr, Yu& Guo, Yan. The Utilization of Formalin Fixed-Paraffin-Embedded Specimens in High Throughput Genomic Studies. International Journal of Genomics. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1166994

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1166994