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Automated TruSeq RNA Sample Preparation from FFPE - Workcast

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Prepared by Michaela Bowden Ph.D Automated TruSeq RNA Sample Preparation from FFPE tissue specimens utilizing the Biomek FX P Liquid Handler Michaela Bowden PhD Dana Farber Cancer Institute 21 st March 2013
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Prepared by Michaela Bowden Ph.D

Automated TruSeq RNA Sample Preparation from FFPE tissue specimens utilizing the Biomek

FXP Liquid Handler

Michaela Bowden PhD Dana Farber Cancer Institute

21st March 2013

Prepared by Michaela Bowden Ph.D

Dana Farber Cancer Institute • Founded in 1947 for Sidney Farber MD

• Mission: to offer cancer patients the best treatment available today, while developing tomorrow’s cures through research

• DFCI holds > 400 NIH and NCI grants and is one of the most successful institutions in the country for securing cancer-related funding due to the quality of research being conducted there

• DFCI, as a non-profit organization, also benefits from the generosity of individuals, corporations, foundations, and organizations

– ~350k clinical visits / annum

– 4000 DFCI employees between clinical, research and administrative staff

• Centre for Molecular Oncologic Pathology is a DFCI/BWH institute within the division of Medical Oncology.

– CMOP supports collaborative pathology-based research projects that have the potential to result in applications for targeted cancer therapy with a particular focus on prostate cancer

Prepared by Michaela Bowden Ph.D

Prostate Cancer • 238,590 new cases of prostate cancer will be diagnosed in

2013^

• 29,720 deaths are projected for 2013^ – Second-leading cause of cancer death in men

• Higher rate of incidence and mortality in African Americans

• Only established risk factor is AGE (~60% diagnosis in men older than 65 years)

• Standard practice is routine PSA testing for early detection

The major challenge in clinical research of prostate cancer is

distinguishing between indolent and aggressive types with a

tendency to recur. Most research activities in the field focus on

better understanding this distinction.

^ American Cancer Society. Cancer Facts & Figures 2013. Atlanta: American Cancer Society; 2013

Prepared by Michaela Bowden Ph.D

Formalin-Fixed Paraffin Embedded Tissue

• Routine preservation method for archiving tumors

• Archived collections are stored for decades and are an invaluable tool for biomedical research

• Large cohorts of samples are required for meaningful clinical discovery

• Extensive RNA fragmentation and cross-linking have been limiting factors for clinical translation applications leading to biomarker discovery

“20 million archival tissue samples are stored annually in US as FFPE blocks but RNA degradation during fixation and storage has prevented their use for transcriptional profiling”

Clin Cancer Res; 18(22) November 15, 2012

Prepared by Michaela Bowden Ph.D

Formalin-Fixed Paraffin Embedded Tissue

Diagnosis • 2 specimen collections types

• Fine need aspirate – Less invasive

– Small # cells collected

– H&E and cell block only

• Core biopsy – Large tissue core punch

• Frozen: Difficult to assess morphologically

• Fixed: IHC, stored at RT, no extra cost

– Obligated to archive for 25 year, large accumulation of preserved blocks

• PrCa cannot be diagnosed on frozen sections due to the difficulty in assessing the morphology

Cohort Studies • Globally large scale cohorts

for PrCa have been archived

• In-house (Collaboration with HSPH) – > 3000 PrCa tissue specimens in

biorepository

• Physician Health Study (PHS)

• Physicians Health Follow-up Study (PHFS)

• Swedish Watchful Waiting Cohort (SWWC)

Prepared by Michaela Bowden Ph.D

Formalin-Fixed Paraffin Embedded Tissue

• Factors influencing RNA degradation in FFPE tissues – Fixation*

• Thickness of tissue specimen

• Duration of fixation process

• Volume of the formalin solution

– Age

– Water

• Retention of endogenous H2O during tissue processing

• Humid environment resulting in ambient H2O effect

– Temperature

• Effect of humidity is temperature Dependent

– Air

• Oxygenation

* “Unlocking your FFPE archive: Critical factors for molecular analysis of FFPE samples” – Qiagen FFPE Brochure 09/2010

Prepared by Michaela Bowden Ph.D

Project Goals

• To implement an automated method for preparation of RNA-seq libraries from archival FFPE tissues utilizing the TrueSeq kit

– To optimize optimal RNA input requirements

– To establish library size from degraded FFPE

– To establish purification methods for FFPE library clean-up

– To compare manual library preparation and automated method

Prepared by Michaela Bowden Ph.D

Collaboration Workflow

1. Sample Selection

2. RNA Extraction

3. RNA QC and Quantitation

4. Biomek TruSeq Library Preparation

5. Library Purification

6. Manual TruSeq Library Preparation

7. Library Purification

8. RNA Sequencing at Centre for Computational Cancer Biology [CCCB]

9. Sequencing Performance Summary

Prepared by Michaela Bowden Ph.D

Sample Selection

• 3 paired Tumor / Normal FFPE tissue specimens were selected after review by DFCI pathologist – Gleason Score 3+4

• Sample ID’s have been masked to protect patient confidentiality – Prostate Tumor A / Benign A

– Prostate Tumor B / Benign B

– Prostate Tumor C / Benign C

• Tumor or Benign Regions of Interest [ROI] were identified from H&E stains and cores were collected for RNA extraction

Prepared by Michaela Bowden Ph.D

RNA Input

Extraction • Assay: Agencourt®FormaPure® Kit,

Beckman Coulter® [Catalog # A33343]

Quantitation • Assay: Quant-iT™ RiboGreen® RNA

Assay Kit, Invitrogen™ [Catalog # R11490]

• Instrumentation: Perkin-Elmer Victor™ X3

Qualitative Analysis • Assay: Agilent RNA 6000 Nano Kit,

Agilent Technologies [Catalog # 5067‐ 1511]

• Instrumentation: Agilent Bioanalyzer 2100

Tumor A

Benign A

T B

RNA concentrations ranged from 24.4

– 61.1 ng/l, of which 500 ng of total

RNA was utilized for each library as

the input amount.

Prepared by Michaela Bowden Ph.D

TruSeq Method

• The TruSeq RNA method comprises multiple steps

• For adaptation to an automated format, these steps can be broken into three parts that correlate to stop points:

– mRNA purification, fragmentation and cDNA synthesis

– cDNA library construction (end repair, A-tailing and adaptor ligation)

– PCR amplification and product purification

Prepared by Michaela Bowden Ph.D

TruSeq cDNA Library

• cDNA library yields are higher from automated preparations

Prepared by Michaela Bowden Ph.D

SPRIselect Fragment Size Selection

• Initial library had peak max for the amplified cDNA library at approximately 260bp

• Non-specific adaptor amplified peak at 120bp present in all 12 samples.

• An additional fragment >400bp also present in some samples

• SPRIselect – Size selection with magnetic beads

– STEP 1: 0.7X ratio of SPRIselect bead solution to cDNA library volume. Fragments >500bp DNA binds to beads and is discarded.

– STEP 2: The remaining supernatant treated with a 1.1X volume of SPRIselect beads to rebind the DNA fragments between 150bp-400bp.

-10

40

90

140

190

240

32 52 72 92 112 132

Flu

ore

sc

en

ce

Un

its

Time [s]

Benign A -Biomek

Prostate Benign A - PreProstate Benign A - Post

126bp

-10

40

90

140

190

240

290

340

32 52 72 92 112 132

Flu

ore

sc

en

ce

Un

its

Time [s]

Tumor A - Biomek

Prostate Tumor A - PreProstate Tumor A - Post126bp

> 400bp

Low

mol wt

marker:

35bp High mol

wt marker:

10380bp

Prepared by Michaela Bowden Ph.D

Sequencing Performance

• Sequencing was performed on the Illumina HiSeq platform.

• Multiplexed sequencing was performed in such that each lane contained 3 samples.

• 50bp single end reads were mapped using Tophat

• Transcript abundance was calculated using Cufflinks in FPKM units (Fragments per Kilobase of mRNA per 106 reads)

Prepared by Michaela Bowden Ph.D

Biomek v Manual

Prepared by Michaela Bowden Ph.D

Endogenous Controls

• “Normalizers” are commonly employed for quantitative gene expression analysis in clinical tumor samples to correct for cellular differences and RNA quality variance from sample to sample

• Utilizing a panel of 27 housekeeping genes the Biomek and Manual Library preparative methods were compared

y = 1.0951x - 0.8565R² = 0.9765

0

2

4

6

8

10

12

0 2 4 6 8 10 12

Bio

me

k [L

og2

]

Manual [Log2]

0.0

2.0

4.0

6.0

8.0

10.0

Robot Manual

Log 2

[FK

PM

]GAPDH

0.0

0.5

1.0

1.5

2.0

2.5

3.0

Robot Manual

Log 2

[FK

PM

]

G6PD

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

Robot Manual

Log 2

[FK

PM

]

OAZ1

Prepared by Michaela Bowden Ph.D

Conclusions

• Generated RNASeq libraries utilizing adapted TruSeq method from 500ng RNA of FFPE origin

• Automated cDNA libraries had a better yield than those prepared manually

• At the transcript level matched Biomek and manual prepped samples showed good concordance

• TruSeq Method is designed for high quality RNA and works extremely robustly for RNA of cell or fresh frozen origin (Routinely used in-house)

• No optimized Illumina protocol is available for FFPE specimens

• Ribosomal RNA removal not an option with TruSeq for FFPE unless large RNA input is utilized (not possible) – rRNA removal highly desirable for

FFPE

Prepared by Michaela Bowden Ph.D

Acknowledgements

• Dana Farber Cancer Institute

– Ashley Rossi [Molecular Technician]

– Svitlana Tyekucheva [Bioinformatics]

– Massimo Loda [CMOP Director]

• Beckman Coulter

– Beena Lee [Senior Scientist]

– Sarah Simons [Field Application Specialist]


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