Upload
vuonghanh
View
228
Download
1
Embed Size (px)
Citation preview
A PATH TO THE STANDARDIZATION OF EXOSOME
ISOLATION AND NGS CHARACTERIZATION FOR
COMPLEX DISEASE STUDIES
CHAD SCHWARTZ, PH.D., ZACH SMITH, M.S.
October 9th, 2015
Exosomes: Small Vesicles, HUGE Impact!
-Exosomes are small microvesicles, derived from the late endosome, most often
described in the literature to be between 40 and 120 nm, and are released by all cell
types.
-Exosome characterization and analysis comprise a fast, evolving research area
even though their biological function has yet to be completely elucidated. Exosomes
contain proteins, lipids, and microRNA capable of regulating an assortment of target
genes.
-Recent studies have suggested that exosomes can serve as biomarkers for future
clinical and diagnostic use in not only cancer1-3 but many other human diseases4.
Exciting new findings have implicated exosomes in cardiovascular diseases5-7,
autoimmune syndromes8, and neurodegenerative disorders such as Alzheimer’s9
and Parkinson’s10 disease, in addition to infectious diseases such as tuberculosis11,
diphtheria12, and even HIV13.
What are Exosomes?
Early
endosome
Late
endosome
Protein
Exosome
Microvesicle
Small RNA
Tetraspanin;
e.g. CD63
Cell-specific
Receptor
Lipid raft
Position Paper
An outcry for standardized methods!
Sponsored Webinars
Many great webinars available
for FREE at
BeckmanCoulter.com!
Exosome-Depleted FBS by Ultracentrifugation
Source Ultracentrifuged Commercially depleted
0
100
200
300
400
500
Co
mp
lete
d N
TA
tra
ce
s
Process > 500 mL of FBS in a single spin!
Cell Viability
Particle Tracking
Workflow Overview: Exosome Isolation and Characterization
Cell Culture
Workflow Overview: Exosome Isolation and Characterization
Cell Culture
Viability Assay
Workflow Overview: Exosome Isolation and Characterization
Cell Culture
Viability Assay
Differential Pelleting
Workflow Overview: Exosome Isolation and Characterization
Cell Culture
Viability Assay
Differential Pelleting
Automated Density Gradient for Highly Pure Isolation
Workflow Overview: Exosome Isolation and Characterization
Cell Culture
Viability Assay
Differential Pelleting
Automated Density Gradient for Highly Pure Isolation
Particle Characterization
Workflow Overview: Exosome Isolation and Characterization
Cell Culture
Viability Assay
Differential Pelleting
Automated Density Gradient for Highly Pure Isolation
Small
RNA Extraction
Particle Characterization
Workflow Overview: Exosome Isolation and Characterization
Cell Culture
Viability Assay
Differential Pelleting
Automated Density Gradient for Highly Pure Isolation
Small
RNA Extraction
NGS
Library Construction
Particle Characterization
Workflow Overview: Exosome Isolation and Characterization
Cell Culture
Viability Assay
Differential Pelleting
Automated Density Gradient for Highly Pure Isolation
Small
RNA Extraction
NGS
Library Construction
Next Generation Sequencing
Particle Characterization
Cell Viability
Cell Type Description Cell Count Cell Viability
HCT 116 Colorectal
Carcinoma
1.52 x 108 97.3%
CCD 841 CoN Normal Colon 0.82 x 108 98.4%
• A benign and cancerous colon cell
line were maintained in exosome-
depleted FBS
• At 95% confluency, cells were
passaged and counted.
• Cell media was retained and
harvested for exosome isolation
Isolation via an Automated Layering and Fractionation
of a Density Gradient
Centrifugation Workflow for
Exosome Isolation
Exosomes are
~1.13 – 1.19
g/mL
Fraction 6-9 were
pooled based on
density and RNA
quantification
Density Gradient Layering
Density Gradient Fractionation
Exosome Size Characterization
• DG Exosome pellets were resuspended in 1X PBS
• 55 μl samples were analyzed on the DelsaMax Pro– 5 sec acq time
– 20 acquisitions
– Laser power: 100%
Representative Trace
A Case Study
Extraction
• Qiagen miRNeasy kit was
used to extract RNA from all
DG fractions.
• Total RNA was quantified by
UV absorbance, Agilent
BioAnalyzer mRNA Pico Chip,
and LifeTech QuantiT-
RiboGreen assay
Top Left: CCD Density
Gradient RNA
Top Right: HCT Density
Gradient RNA
NEBNext® Small RNA Library Prep Kit for Illumina
3' Adaptor Ligation
RT Primer Hybridization
5' Adaptor Ligation
Reverse Transcription
PCR Amplification
Post PCR Purification and Size Selection
NEBNext Small RNA Automation Method
Small RNA Characterization
Above: Agilent miRNA Control
library before (red) and after
(blue) size selection overlay
Top Right: CCD Density
Gradient (blue) and Crude (red)
overlay
Top Left: HCT Density Gradient
(blue) and Crude (red) overlay
Sequencing Results
Libraries were quantified in
triplicate using the Illumina Library
Quantification Kit from Kapa
BioSystems using manufacturer’s
specifications. Libraries were
sequenced on an Illumina MiSeq
using a 50 cycle SR sequencing
run.
Library Library
Concentration
(nM)
Pass Filter
Reads
CCD_DG 237.6 1,447,621
HCT_DG 42.1 878,712
CCD_Crude 211.8 1,534,514
HCT_Crude 29.8 1,510,580
Data Analysis: BaseSpace
Libraries were analyzed using the Illumina Small RNA App on BaseSpace
following adaptor trimming.
Data Analysis: BaseSpace
204 total miRNA
families were
identified,
including 15
families that
were
differentially
expressed.
miRNA Family Mean Count
log2(Fold
Change)
Std. err.
log2(Fold
Change) q value
Regulation
in Colon
Cancer Source
mir-1246 41 3.98 0.733 6.07E-07 Up
Ogata-Kawata, Hiroko et al., 2015
mir-182 29.7 4.87 1.04
0.000018
4 Up Perilli, Lisa et al., 2014
mir-183 66.7 4.61 1.09 0.000114 Up Zhou et. al., 2014
Data Analysis: BaseSpace
miRNA Family and miRNA Precursor expression shows
interesting variation between crude and density gradient
prepared samples
CCD
DG
CCD
Crude
HCT
DG
HCT
Crude
CCD
DG
CCD
Crude
HCT
DG
HCT
Crude
References• Vader, P., Breakefield, X.O., Wood, M.J.. Extracellular vesicles: emerging targets for cancer therapy. Trends Mol Med. 2014. 20(7): 385-93.
• El Andaloussi, S., Mager, I., Breakefield, X.O., Wood, M.J.. Extracellular vesicles: biology and emerging therapeutic opportunities. Nat. Rev. Drug
Discov. 2013. 12(5): 347-57.
• Simpson, R.J., Lim, J.W., Moritz, R.L., Mathivanan, S.. Exosomes: proteomic insights and diagnostic potential. Expert Rev. Proteomics. 2009. 6(3):
267-83.
• De Toro, J., Herschlik, L., Waldner, C., Mongini, C.. Emerging roles of exosomes in normal and pathological conditions: new insights for diagnosis
and therapeutic applications. Front. Immunol. 2015. doi: 10.3389/fimmu.2015.00203.
• Amabile, N., Rautou, P-E, Tedgui, A., Boulanger, C.M.. Microparticles: key protagonists in cardiovascular disorders. Semin Thromb. Hemost.
(2010) 36:907–16. doi:10.1055/s-0030-1267044Asdf
• DeJong O.G., Verhaar, M.C., Chen, Y., Vader, P., Gremmels, H., Posthuma, G., et.al. Cellular stress conditions are reflected in the protein and
RNA content of endothelial cell-derived exosomes. J Extracell. Vesicles (2012) 1:18396. doi:10.3402/jev.v1i0.18396.
• Waldenström, A., Gennebäck, N., Hellman, U., Ronquist, G.. Cardiomyocyte microvesicles contain DNA/RNA and convey biological messages to
target cells. PLoS One (2012) 7:e34653. doi:10.1371/journal.pone.0034653.
• Robbins, P.D., Morelli, A.E.. Regulation of immune responses by extracellular vesicles. Nat Rev Immunol (2014) 14:195–208. doi:10.1038/nri3622.
• Rajendran, L., Honsho,M., Zahn,T.R., Keller,P., Geiger,K.D., Verkade,P., et. al. Alzheimer’s disease beta-amyloid peptides are released in
association with exosomes. Proc. Natl. Acad. Sci. USA (2006) 103:11172–7. Doi:10.1073/pnas.0603838103.
• Danzer, K.M., Kranich, L.R., Ruf, W.P., Cagsal-Getkin, O., Winslow, A.R., Zhu,L., et. al. Exosomal cell-to-cell transmission of alphasynuclein
oligomers. Mol Neurodegener (2012) 7:42. doi:10.1186/1750-1326-7-42
• Kruh-Garcia, N.A., Wolfe, L.M., Chaisson, L.H.,Worodria, W.O., Nahid P., Schorey J.S., et. al. Detection of Mycobacteriumtuberculosis peptides in
the exosomes of patients with active and latent M. tuberculosis infection using MRM-MS. PLoS One (2014) 9:e103811.
doi:10.1371/journal.pone.0103811.
• Colino, J., Snapper, C.M. Exosomes from bone marrow dendritic cells pulsed with diphtheria toxoid preferentially induce type1 antigen-specific IgG
responses in naïve recipients in the absence of free antigen. J Immunol (2006) 177:3757–62. doi:10.4049/jimmunol.177.6.3757.
• Gould S.J., Booth, A.M., Hildreth,J.E.K.. The Trojan exosome hypothesis. Proc Natl Acad Sci USA (2003) 100:10592–7.
doi:10.1073/pnas.1831413100.
• Shelke, G.V., Lasser, C., Gho, Y.S., Lotvall, J.. Importance of exosome depletion protocols to eliminate functional and RNA-containing extracellular
vesicles from fetal bovine serum. J Extracell Vesicles. 2014. Doi:10.3402/jev.v3.24783.
• Ogata-Kawata, Hiroko et al. “Circulating Exosomal microRNAs as Biomarkers of Colon Cancer.” Ed. Tadayuki Akagi. PLoS ONE 9.4 (2014):
e92921. PMC. Web. 1 Oct. 2015. Perilli, Lisa et al. “Circulating miR-182 Is a Biomarker of Colorectal Adenocarcinoma
Progression.” Oncotarget 5.16 (2014): 6611–6619. Print.
• Zhou et. al. "Overexpression of microRNA-183 in human colorectal cancer and its clinical significance." Eur J Gastroenterol Hepatol. 2014
Feb;26(2):229-33. doi: 10.1097/MEG.0000000000000002.
Questions & Answers
Beckman Coulter, the stylized logo, and the Beckman Coulter product and service marks mentioned herein are trademarks or registered trademarks of Beckman
Coulter, Inc. in the United States and other countries.
Come visit us at
Poster 1884F!
Content Approval Code: CENT-1309CP12.15-A