Standard Operating Pre-Analytical Procedures for Protein … · Protein Profiling and DNA Studies:...

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Fiorella Guadagni, M.D., Ph.D. Department of Laboratory Medicine & Advanced Biotechnologies IRCCS San Raffaele Pisana, Rome, Italy [email protected] Standard Operating Pre-Analytical Procedures for Protein Profiling and DNA Studies: the Experience of the Interinstitutional Multidisciplinary BioBank (BioBIM) 3 rd Annual Biospecimen Research Network (BRN) Symposium: Advancing Cancer Research Through Biospecimen Science March 24-25, 2010, Bethesda, Maryland, USA

Transcript of Standard Operating Pre-Analytical Procedures for Protein … · Protein Profiling and DNA Studies:...

Fiorella Guadagni, M.D., Ph.D.Department of Laboratory Medicine & Advanced BiotechnologiesIRCCS San Raffaele Pisana, Rome, [email protected]

Standard Operating Pre-Analytical Procedures for Protein Profiling and DNA Studies: the Experience of

the Interinstitutional Multidisciplinary BioBank (BioBIM)

3rd Annual Biospecimen Research Network (BRN) Symposium:Advancing Cancer Research Through Biospecimen Science

March 24-25, 2010, Bethesda, Maryland, USA

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

The BioBIM is an organized collection of biological samples obtained from individuals attending several Italian Institutions. The BioBIM operates under the auspices of the IRCCS San Raffaele, Rome, Italy, a private Scientific Institution certified by the Italian Minister of Health.

The BioBIM is ISO certified.

BioBIM - Interinstitutional Multidisciplinary BioBank

AIMSThe Inter-Institutional Multidisciplinary BioBank will operate with the aims of:

• collecting and analyzing high-quality biological specimens from all participating Units, in an efficient, organized and accessible manner using leading-edge technologies.

• connecting professionals with each other across traditional hospital or laboratory departments to provide a multidisciplinary research structure properly embedded into European ethical and legal frameworks.

• facilitating translational research enabling us to apply biomarker discovery to clinical outcome studies and novel targets for therapy.

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Five different disease-based biorepositories have been structured, devoted to:

1. Cancer diseases2. Cardiovascular and respiratory diseases3. Neurodegenerative diseases4. Developmental disabilities5. Rare diseases

Healthy volunteers are also recruited

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

IRCCS San Raffaele Romeand Cassino

Italian network ACISMOM

San Camillo Hospital, Rome

Unità Sanitaria Locale 2 Salerno

San Giovanni Addolorata Hospital, Rome

University of Rome Tor Vergata

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

clinicaldata

records

Lab-1data

dev1 dev2 dev3

repo

rtin

g

OLA

P

data

min

ing

DatawarehouseDatamart-1 Datamart-2 Datamart-3

Lab-2data

devA devB devC

externalsystem-A

externalsystem-B

patientdata

samplecollection

Hospitals/Institutions

externalsystem-1

externalsystem-2

exte

rnal

ser

vice

s

quality control& active

monitoring

ETL – data integration

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Clinical Center Network

Check-in Biological Samples

Automation

Pre-Analytical Phase

BioBIM TLA Diagnostic areaAutomation

Research activities

Genomics

Proteomics

Metabolomics

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010\

BIOMARKERS DISCOVERY

Key point - Pre-analytical phases:Sample Processing and Storage Procedures

Possible approach:Total Lab Automation

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

All blood samples are initially identified by the Tecan FE500 robot that sorts samples for diagnostic routine and samples dedicated to the BioBIM

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Total Lab AutomationSample distribution

Robotic Station TECAN FE500

Robotic S

tation Freedom E

vo 1503rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Total Lab AutomationSample identification and recording

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Total Lab Automation

Blood storage for biological bank

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Robotic Station Tecan Freedom Evo 100 and 150

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

BiospecimensBlood, Serum, Plasma, Urine, Tissues, Cells

PROTEOMICS- Protein identification- Post-translational modification- Protein Profiling- Molecular MS-Imaging

GENOMICS- Mutational Analysis- Gene Expression- Real Time PCR- SNPs

Biobank- Storage Biological Samples

BIOMARKERS DISCOVERY

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Laboratory Robotization for proteomics highthroughput analysis

Protein extraction, purification and MS analysisProtein extraction

Protein purification

Protein profiling

Protein caracterization

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Standard Operating Pre-Analytical Procedures for Protein Profiling

Methodological Approach

• Comparison between manual vs robotized analytical processing for protein profiling (Low Molecular Weight proteins)

Pre-analytical conditions • Addition of protease inhibitors • Time before processing• Storage temperature

A

C

E

Automated ProcedureAutomated Procedure(peaks 68, average CV 14.1 %)

B

D

F

Manual ProcedureManual Procedure(peaks 57, average CV 18.2 %)

CV> 50% 0% 1.75%

CV 30-50% 5.90% 19.30%

CV 10-30% 45.60% 40.35%

CV< 10% 48.50% 38.60%

0%

10%

20%

30%

40%

50%

60%

70%

AutomatedProcedure

ManualProcedure

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

24 to 42 years, 3 males and 3 females

Four blood samples were treated with protease inhibitor-EDTA free

Protease inhibitor were added in some serum samples

LMW serum proteome purification by C18 magnetic beads

The average peak intensity, SD and CV (%) for each corresponding peak was calculated.

Eight Vacutainer tubes with clot activator from each subject.

Blood samples from six consenting healthy donors

1 our of clotting time HIL test of serum samples on an Architect c8000 system (Abbott,

Irving TX USA)

The tests confirmed the absence of haemolysis in serum samples

Automated serum Low Molecular Weight protein/peptides (LMW) purification

MALDI/MS analisys of LMW

ClinProt system

ClinProTools software analysis

-80ºC -80ºC +4ºC+4ºCRT RT

1, 2, 3, 6, 12 and 24hrsRPC18

1, 3, 6 months, 1 yearRPC18

1, 2,3, 6, 12 and 24hrsRPC18

t=0

1, 2, 3, 6, 12 and 24hrsRPC18 1, 2, 3, 6, 12 and 24hrs

RPC18

Whole blood with protease inhibitors

Serum with protease inhibitors **

Serum without protease inhibitorst=0

1, 3, 6 months, 1 yearRPC18

* Complete EDTA-free protease inhibitor cocktail tablets from Roche (Mannheim, Germany) containing: D-mannitol, polivinylpyrrolidone, polyethylene glycol and AEBSF

** Complete protease inhibitor cocktail tablets from Roche (Mannheim, Germany) containing: D-mannitol, polivinylpyrrolidone, polyethylene glycol, AEBSF and EDTA

-80ºC -80ºC +4ºC+4ºCRT RT

1, 2, 3, 6, 12 and 24hrsRPC18

1, 2,3, 6, 12 and 24hrsRPC18

t=0

1, 2, 3, 6, 12 and 24hrsRPC18

1, 2, 3, 6, 12 and 24hrsRPC18

Whole blood without protease inhibitors

Serum with protease inhibitors **

Serum without protease inhibitorst=0

1, 3, 6 months,1 yearRPC18

1, 3, 6 months, 1 yearRPC18

** Complete protease inhibitor cocktail tablets from Roche (Mannheim, Germany) containing: D-mannitol, polivinylpyrrolidone, polyethylene glycol, AEBSF and EDTA

Ave. CV 32.81%

Ave. CV 18.35%

Ave. CV 28.38%

1 3 4 9 . 9 8 5

2 0 2 2 . 6 1 2

0

1

2

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5x 1 0

Inte

ns. [

a.u.

]

2 0 0 0 4 0 0 0 6 0 0 0 8 0 0 0 1 0 0 0 0m / z

2 0 2 0 . 6 4 2

1 3 5 0 . 3 9 9

0

1

2

3

5x 1 0

Inte

ns. [

a.u.

]

2 0 0 0 4 0 0 0 6 0 0 0 8 0 0 0 1 0 0 0 0m / z

2 0 2 2 . 8 3 2

1 3 4 9 . 9 6 4

0

1

2

3

5x 1 0

Inte

ns. [

a.u.

]

2 0 0 0 4 0 0 0 6 0 0 0 8 0 0 0 1 0 0 0 0m / z

0 . 0

0 . 5

1 . 0

1 . 5

2 . 0

2 . 5

5x 1 0

Inte

ns. [

a.u.

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2 0 0 0 4 0 0 0 6 0 0 0 8 0 0 0 1 0 0 0 0m / z

28 Peaks

38 Peaks

35 Peaks

25 Peaks

Clotting Time Clotting Time 30 min. 30 min.

Clotting Time Clotting Time 60 min. 60 min.

Clotting Time Clotting Time 120 min. 120 min.

Clotting Time Clotting Time 240 min. 240 min.

Clotting times

LMW protein profiles from serum (w/o PI addition on whole blood)stored at +4 C up to 24 hrs

2020.656 * 30 min camp 1-5 T0\0_B1\1\1SLin, "Baseline subt."

0

1

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5x10

Inte

ns. [

a.u.

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1349.985

2022.612 * camp 1-5 T1+ camp 2-6 T0\0_B3\1\1SLin, "Baseline subt."

0

1

2

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5x10

Inte

ns. [

a.u.

]

2021.034 * camp 1-5 T1+ camp 2-6 T0\0_A3\1\1SLin, "Baseline subt."

0

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5x10

Inte

ns. [

a.u.

]

2000 4000 6000 8000 10000m/z

T 0

1h

2h

Ave. CV < 16%

Ave. CV < 26%

2 0 2 2 . 6 5 5

0 . 0

0 . 5

1 . 0

1 . 5

2 . 0

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ns. [

a.u.

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2 0 0 0 4 0 0 0 6 0 0 0 8 0 0 0 1 0 0 0 0m / z

3hAve. CV 30-36%

3, 6, 12, 24h

6hAve. CV 25-28%

12hAve. CV 25-27%

24hAve. CV 29-33%

BiospecimensBlood, Serum, Plasma, Urine, Tissues, Cells

PROTEOMICS- Protein identification- Post-translational modification- Protein Profiling- Molecular MS-Imaging

GENOMICS- Mutational Analysis- Gene Expression- Real Time PCR- SNPs

Biobank- Storage Biological Samples

BIOMARKERS DISCOVERY

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Laboratory Automation for genomic high-throughput analysis

DNA extraction, purification and sequence analysis

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

Standard Operating Pre-Analytical Procedures for DNA Analysis

Methodological Approach

• Comparison between manual vs robotized DNA extraction

Pre-analytical conditions • Different anticoagulants• Time before processing• Storage temperature

Automated - DNA Isolation Kit

DifferentDNA extraction methods

Manual QIAmp DNA Blood Mini Kit

In house Digestion Buffer / Proteinase K kit

DNA recovery ng/μl(Nanodrop spectrophotometric quantification 260 nm)

01020304050607080

0h 6h 24h 48h 72h 96h 168hStorage time at 4°C

ng/u

l

KIT QIAGEN

DIGESTION BUFFER/PK

AUTOMATED

0,00

5,00

10,00

15,00

20,00

25,00

30,00

35,00

0 h 6h 24h 48h 72h 96h 168h

Storage time

Cp

AUTOMATEDKIT QIAGENDIGESTION BUFFER/PK

Evaluation of DNA quality/integrity (Real –Time PCR, ex9a APC gene, 186bp)

Any temperature

Anticoagulant Closure color VolumeCTAD (Buffered sodium citrate theorphylline

adenosine dipyridamole) Light blue 4,5 ml

K3EDTA (K3 Ethylenediaminetetraacetic Acid) Lavender 3 ml

NaCit (Sodium Citrate, Silicone coated) Light blue 4,5 ml

LH 68 IU (Lithium Heparin 68 IU) Green 4 ml

LH 60 IU (Lithium Heparin 60 IU) Grey 3 ml

FX (Sodium Fluoride Oxalate) Light grey 2 ml

BD Vacutainer Venous Blood Collection Tubes

Anticoagulants

DNA recovery ng/μl(Automated extraction - Nanodrop spectrophotometry 260 nm)

0

10

20

30

40

50

60

70

80

CTAD K3EDTA NaCit LH 68 IU LH 60 IU FX

ng/u

l Fresh blood

96 hours RT

96 hours-80°C

Quantitative Real –Time PCR (ex9a APC gene, 186bp)

0,00

5,00

10,00

15,00

20,00

25,00

30,00

CTAD K3EDTA NaCit LH 68 IU LH 60 IU FX

cp

0h

24h

96h

96h, -80°C

These data were obtained also in all the other storage conditions

Conclusions

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

1. Automation allowed an increased LMW peak recovery of 16.2%, as well as a better reproducibility of results compared to manual procedure;

2. Clotting times up to 2 hours and serum storage (with or w/o PI addition) up to 2 hrs at +4 °C did not significantly modified the LMW protein profiling results;

3. Storage at −80 °C up to 1-year, without PI addition resulted in not significant changes in serum LMW profiling.

Automation of the pre-analytical phases of proteomics as well as genomic studies might be one approach to improve standardization and homogeneity of analytical results

LMW protein profiling

Conclusions (2)

3rd Annual BRN SymposiumBethesda, 24-25 March, 2010

1. Automation of DNA extraction allowed the best recovery and reproducibility of the results compared to manual procedures;

2. All six anticoagulant evaluated, with the exception of LH show similar results.

3. RT up to 168 hrs can be considered a good storage condition for samples to be used for DNA studies.

DNA analyses

In conclusion, preanalytical phases are crucial and require specific focus and traceability. However, we should not underestimate other parameters like, cellular population and the values of analytes that can be tested only on fresh samples. All these information should represent the package data linked to a sample stored in a biorepository.

Prof. Mario Roselli, Medical Oncology,Dept. of Internal Medicine, University of Rome Tor Vergata

Scientific CoordinatorDr.ssa Fiorella GuadagniDip. di Medicina di Laboratorio e Biotecnologie AvanzateIRCCS San Raffaele Pisana, Rome

Dr. Mauro Ragonese A.C.I.S.M.O.M. Associazione Italiana dei Cavalieri Italiani del Sovrano Militare Ordine di Malta, Rome

Prof. Umberto NanniFaculty of Engineering, Sapienza University of Rome

Ing. Angelo LiveraniNoemalife SpA, Bologna, Italy

Dr. Giuseppe Ettorre, Dept of Surgery,Azienda Ospedaliera San Camillo-Forlanini, Rome

Dr. Giuseppe De Cataldis, Dept. of Oncology,ASL Salerno 2,Da Procida Hospital, Salerno

Dr. Francesco Cavaliere Azienda Ospedaliera San Giovanni Addolorata, Rome

World Biobanking Summit23-25 September, Edinburgh, Scotland