Download Solid Tumor

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Copy-number variation wikipedia , lookup

Genomics wikipedia , lookup

Polycomb Group Proteins and Cancer wikipedia , lookup

Oncogenomics wikipedia , lookup

Genomic library wikipedia , lookup

NEDD9 wikipedia , lookup

Metagenomics wikipedia , lookup

RNA-Seq wikipedia , lookup

Transcript
HRAS
EGFR
KRAS
BRAF
TP53
CDKN2A
MYC
ROS1
NOTCH1
PDGFRA
ESR1
ALK
FGFR1
RHOA
KRAS
PTEN
GNAS
JAK2
ABL1
CDK4
RB1
HNF1A
TERT
VHL
ERBB4
GNAQ
IDH1
FBXW7
FGFR2
MAP2K1
MDM2
NPM1
AKT1
CSF1R
NRAS
EZH2
SRC
GNA11
FOXL2
MET
IDH2
JAK2
FLT3
STK11
ERBB3
FGFR3
PIK3CA
RET
Solid
Tumor
Archer™ VariantPlex™ Solid Tumor Panel
Comprehensive Targeting
The VariantPlex Solid Tumor Panel is a targeted nextgeneration sequencing assay to detect somatic variants
in genes frequently associated with solid tumors. The
assay allows simultaneous detection of single nucleotide
variants (SNVs), insertions and deletions (indels) and
copy number variations (CNVs) in over 19,000 COSMIC
variants across 67 oncogenes and tumor suppressors.
VariantPlex assays use Anchored Multiplex PCR (AMP™)
for target enrichment. AMP enables greater recovery of
short fragments commonly found in FFPE samples, a more
complex library and robust quantitative data. VariantPlex
assays provide better informational yield than competing
panels, ensuring that you get the most out of your FFPE
sample. The panel is optimized for use with the Illumina®
sequencing platform.
• Purpose-built – designed for high-quality data
• from low-input FFPE samples
• Fast – easy, lyophilized workflow with
• in-line DNA fragmentation
• Integrated CNV calling – in addition to SNPs
• and indels
For Research Use Only. Not for use in diagnostic procedures.
Learn more about the VariantPlex Solid Tumor Panel
www.archerdx.com/variantplex/solid-tumor
Gene
SNV/Indel
CNV
Gene
SNV/Indel
ABL1


IDH2

AKT1

JAK2


ALK


JAK3


APC


KDR


ATM


KIT



KRAS


MAP2K1

AURKA

BRAF

CCND1
CNV

MDM2


CCNE1


MET


CDH1


MLH1

CDK4


MPL

CDKN2A


MYC
CSF1R

MYCN
CTNNB1

NOTCH1

DDR2


NPM1

EGFR


NRAS


ERBB2


PDGFRA


ERBB3


PIK3CA


ERBB4


PIK3R1






ESR1

PTEN
EZH2

PTPN11

FBXW7


RB1


FGFR1


RET


FGFR2


RHOA

FGFR3


ROS1

FLT3


SMAD4


FOXL2

SMARCB1


GNA11

SMO


GNAQ

SRC

GNAS

STK11

H3F3A

TERT

HNF1A

TP53


HRAS

VHL


IDH1



HRAS
EGFR
KRAS
BRAF
TP53
CDKN2A
MYC
ROS1
NOTCH1
PDGFRA
ESR1
ALK
FGFR1
RHOA
KRAS
PTEN
GNAS
JAK2
ABL1
CDK4
RB1
HNF1A
TERT
VHL
ERBB4
GNAQ
IDH1
FBXW7
FGFR2
MAP2K1
MDM2
NPM1
AKT1
CSF1R
NRAS
EZH2
SRC
GNA11
FOXL2
MET
IDH2
JAK2
FLT3
STK11
ERBB3
FGFR3
PIK3CA
RET
Superior Data Yield
With random start sites, error-correction,
deduplication and expert primer design, the
VariantPlex Solid Tumor Panel delivers higher
complexity libraries than traditional opposing
primer-based library preparation methods.
VariantPlex libraries directly reflect input material,
capturing the most information while correcting for
PCR-induced bias.
The primers in the panel are designed to avoid
blocking known SNVs. Bidirectional priming and
intronic primer placement covers unexpected SNVs
while maximizing exon coverage.
Sequencing data from VariantPlex library showing deduplicated reads spanning EGFR exon 21.
Libraries were prepared from adipose, adrenal, colon and lung gDNA using and sequenced to a
depth of 1.87M reads.
Accurate CNV Detection
AMP chemistry enables detection of copy number
gains and losses. Molecular barcodes that label
individual input molecules prior to amplification
provide unbiased quantitative data. Archer
Analysis bioinformatics software then reports
relevant CNVs showing copy number gains and
losses along with statistical significance.
Greater Recovery of Short FFPE Fragments
AMP chemistry produces information-rich libraries from short fragments that
would otherwise drop out of amplicon-based libraries. In cases of low tumor
cellularity and poor sample quality, the loss of shorter fragments could result in
false-negative reporting. AMP captures and uniquely tags input molecules of all
size, resulting in more complex libraries and more confident calls.
archerdx.com
Illumina® is a registered trademark of Illumina, Inc.
PN-MKT-0031 REV A