Services

Please click on the following link to place orders for OSUCCC Shared Resources:

 

 

 

The Nucleic Acid Shared Resource (NASR) is a multifunctional, state-of-the-art core laboratory that provides instrumentation and expertise to facilitate cancer research at OSUCCC–James.

As a support service, the NASR trains researchers how to use specific software and analyze data for any methods used in the NASR in order to educate and enable them to analyze and manage data more effectively as well as to reduce need for costly outside analysis. Additionally, the NASR assists researchers in methodology optimization to increase data quality and lower the costs where applicable.

The NASR offers the following support:

NEW SERVICE:

Illumina HiSeq 2000
The lllumina HiSeq 2000 sequencer has undergone major changes since its launch in February 2010. This includes larger flow cells and new image analysis software to bring sequencing output to 1.6 billion (200 million reads per lane, 8 lanes per flow cell) passed filter reads, more. . ..

DSN normalization
New protocol for Illumina sequencing involves directional RNA (sequencing of coding + non-coding regions)-seq using the Duplex-Specific nuclease (DSN) approach. DSN normalization degrades abundant DNA molecules derived from rRNA, tRNA and housekeeping genes (which comprise > 90 percent of total RNA) while preserving DNA molecules derived from less abundant transcripts.

DSN normalization is performed after RNA-seq sample preparation and before cluster generation. It is useful for a wide range of applications, including transcriptome discovery and annotation and the analysis of highly degraded RNA from archival sources such as FFPE. It is also a powerful tool for the profiling of noncoding RNA transcripts—which as a transcript class is not typically polyadenylated. DSN normalization for next generation sequencing experiments has yet to be published widely in the literature. By reducing the cost of sequencing whole transcriptomes, it has the potential to accelerate such studies and to permit reliable, reproducible profiling of archival clinical specimens.

Digital Multiplexed Gene Expression Analysis Using the NanoString nCounter System

  • Copy Number Variation Analysis: The nCounter Copy Number Variation CodeSets provide everything needed to interrogate up to 800 regions of the human genome in a single multiplexed reaction with as little as 300ng purified genomic DNA of starting material.
  • nCounter Human Karyotype Panel: The Human Karyotype Panel consists of 338 probes spanning all 24 chromosomes at a rate of approximately 8 probes per chromosome arm.
  • nCounter miRGE assay: Designed to simultaneously measure expression levels of both miRNAs and mRNA in a single reaction from a single sample (choose between 5-30 miRNAs of their choice to profile and between 100-200 mRNAs).


DNA Sequencing (Sanger-Based and Non Sanger-Based)

  • Sanger-based DNA Sequencing

               Capillary Sequencing

  •  Non-Sanger-based Illumina HiSeq 2000 Sequencing

The lllumina HiSeq 2000 sequencer has undergone major changes since its launch in February 2010. This includes larger flow cells and new image analysis software to bring  sequencing output to 1.6 billion (200 million reads per lane, 8 lanes per flow cell) passed filter reads. more. . .
 

Genotyping

  • Real-Time PCR-Based Assays
  • Capillary Electrophoresis-Based Assays
  • Illumina HiSeq 2000: Genomic DNA-seq

DNA Methylation Analysis

  • Capillary Electrophoresis-Based Assays
  • Illumina HiSeq 2000: Methylation-seq 

 Quantitative Real-Time PCR

  • TaqMan Gene Expression Assays
  • TaqMan Low Density Array (TLDA)
  • TaqMan MicroRNA Assays
  • Digital Multiplexed Gene Expression Analysis Using the NanoString nCounter System 
  • Validation of Microarray Results
  • SYBR Green Chemistry
  • Data Analysis

 

 

 

The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC – James) 300 W. 10th Ave. Columbus, OH 43210 Phone: 1-800-293-5066 | Email: jamesline@osumc.edu