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MetaboScape

MetaboScape

Prosigna Score / ROR Score:

The ROR Score has been validated to predict the risk of recurrence of disease in ER+ breast cancer after surgery and treatment with 5 years of endocrine therapy. The ROR score depends upon the biology of the intrinsic subtypes, the proliferation score of the tumor, and the tumor size as shown in the equation below:

ROR = aRLumA + bRLumB + cRHer2 + dRBasal + eP + fT

Each of the R variables in the equation above indicate the Pearson correlation coefficient of the PAM50 expression profile for the tumor compared to each of the prototypical centroids for the intrinsic subtypes shown in the heatmap below. P is the proliferation score, which is the average gene expression profile of genes associated with cell-cycle progression and T is the tumor stage.

Figure: Heatmap of PAM50 genes by subtype. Red is higher expression and green is lower expression

MetaboScape

All-in-one software for compound identification from non-targeted workflows


Identify more with MetaboScape

  • Add confidence to your IDs using annotation quality (AQ) scoring with CCS. Visualize biomarkers using built-in statistical tools and map changing pathways.

  • Utilize the 4th dimension using TIMS to reveal CCS for all your compounds

  • Process large sample cohorts rapidly using MetaboScape’s client-server-based software. Run > 200 samples per day using LC-free MRMS aXelerate.

  • Annotate imaging data with compound information, whilst detecting more compound classes using the innovative and unique MALDI-2 source on the timsTOF fleX.

GeoMx DSP COVID-19 Protein and RNA Analysis

  • Rapidly perform high-plex spatial analyses of the host response in FFPE or fresh frozen tissue using the  GeoMx Digital Spatial Profiler (DSP). NanoString’s GeoMx DSP platform enables high-plex protein and RNA experiments in key areas of biology such as molecular response, cellular (immune) response, tissue damage, and drivers of individual susceptibility to severe forms of disease.

  • The GeoMx COVID-19 Immune Response Atlas, a ~1,850-plex RNA assay, enables spatial studies of the SARS-CoV-2 virus and host response. RNA targets include COVID-19 receptors and proteases, pulmonary alveolar type I and II markers, lung biology markers, viral response markers, and SARS-CoV-2 probes. RNA targets are profiled simultaneously using the GeoMx DSP and an Illumina next-generation sequencer (NGS) for readout. Users can run ACD RNAscope™ probes alongside GeoMx RNA probes to identify regions of interest.

  • A five-antibody custom, ready-to-go protein panel, with receptor, protease, and viral markers is available through the GeoMx Technology Access Program or for order through Abcam. This  COVID-19 GeoMx-formatted Antibody  is run with the 20-plex GeoMx Immune Cell Profiling Core (plus controls) with readout on the nCounter Analysis System. Users can add up to six 10-plex modules including the Immune Activation Status, Immune Cell Typing, and/or Cell Death modules to more deeply profile proteins involved in T cell activation and cell death. NanoString scientists can recommend commercially-available markers for lung epithelium, nasal epithelium, immune response markers, and the viral spike protein.

Powerful T-ReXalgorithm

MetaboScape®’s powerful T-ReXalgorithm comprises retention time alignment, deisotoping, and feature extraction to ensure robust data processing

User-defined Analyte Lists

Target compounds can be automatically annotated using user-defined Analyte Lists

Unknown ID

Unknown ID pipeline including library matching and in silico fragmentation to facilitate unknown ID

Visualize Relevant Information

Visualize relevant information in complex data sets using supervised and non-supervised statistics, including PCA, t-test, ANOVA, PLS, and bucket correlation analyses

Annotation Quality (AQ)

Annotation Quality (AQ) scoring providing five indicators of data quality

Pathway Mapping

Pathway mapping to set identified metabolites in a biological context, thereby turning data into knowledge

Local Metabolite Prediction

Identification of drug and xenobiotic metabolites using local metabolite prediction

Batch Corrections

Batch correction to offset sample effects in large sample cohorts

Investigate Changes

Time series plots to investigate changes in metabolites over time

Lipidomics Annotation Tools

Dedicated lipidomics annotation tools, including rule-based annotation, 4D Kendrick mass defect plot and CCSPredict

Features

The eight essential components of stem cell biology

Stemness
Pluripotency
Regulatory Signaling
Epigenetics
Mechano-Signaling
Metabolism
Differentiation Signaling
Lineage Specification

Stem Cell Renewal:

  • Stem Cell Prolifiration

  • Cell Cycle

  • Senescence/Quiescence

  • Autophagy

  • Apoptosis

  • Anti-Apoptosis

  • PSC Pluripotency Markers and Regulators

  • Naive State/Primed State

Regulatory Pathways:​

  • Wnt/B-catenin Pathway

  • Hedgehog Signaling

  • AP-1 Signaling

  • PI3K-AKTmTOR Pathway

  • MAPK Pathway

  • JAK/STAT Pathway

  • Notch Signaling

Epigenetic Mechanism:

  • DNA Methylation

  • Histone Acetylation & Methylation

Mechano-Signaling:

  • Rho/ROCK Signaling

  • integrin/Cadherin Signaling

  • Hippo Pathway

Metabolism:

  • Oxidative Stress Response

  • Hypoxia Response

  • Amino Acid Metabolism

  • Fatty Acid Metabolism

  • Glutamine Metabolism

  • Glucose Metabolism

Differentiation Signaling and Pathways:

  • TGFB Signaling

  • Cytoskeletal Reorganization

  • MET/EMT Signaling

  • HOX Gene Activation

Differentiation Lineage:

  • Endodermal /Ectodermal /Mesodermal Lineage Markers

  • Key Somatic Cell Types

Custom & Clinical Products

Assay Type
Product
Maximum Targets
Daily Sample Throughput
Analytes Offered
Common Applications

Custom codeSets

Elements TagSets

PlexSet Reagents

Self-assembled, interchangeable probes, optimized for smaller validation projects with maximum flexibility

Self-assembled, interchangeable probes for high-throughput, sample multiplexing projects

User-designed, turn-key solution that comes ready-to-use

216

96

800

24-96

24-96

192-1152

mRNA, CNV, Fusions

mRNA, Fusions

mRNA, miRNA, CNV, Fusions

Cell line drug screen, biomarker development, infectious disease

Gene Signature Development

Model Organism, Microbes, Agriculture

SKU
Description
Pack Size

Featured Videos

Download Collaterals

Please contact us for more info at techsupport@bioinnovations.in

AUTOIMMUNE DISEASE AND CHRONIC INFLAMMATORY DISEASE COVERAGE
Condition
Description

Chronic inflammatory disorder that impacts the lining of joints.

Chronic inflammatory of the digestive tract.

Autoimmune disease is where the immune system mistakenly attacks the insulin-producing cells of the pancreas

Demyelinating disease that disrupts communication with the nervous system.

Immune-mediated disease that causes skin cells to rapidly build up on the surface of the skin

Certain treatments and infections have been reported to interfere with the immune system and induce a series of autoimmune disease or adverse immune-related events.

Chronic inflammatory disease that manifests systematically throughout the body.

Rheumatoid Arthritis

Inflammatory Bowel Disease

Type 1 Diab

Type 1 Diabetes

Multiple Sclerosis

Systematic Lupus Erythematosus

Psoriasis

Induced Adverse Immune Events

Immune Checkpoint Coverage

ADORA2A(A2aR)

CD70

HAVCR2(TIM3)

CD274(PD-L1)

TNFRSF9(4-1BB)

TNFSF9(4-1BBL)

TNFRSF18(GITR)

TNFSF18(GITRL)

VSIR(VISTA)

PDCD1LG2(PD-L2)

TIGIT

TNFRSF4(OX40)

TNFSF4(OX40L)

ICOS

ICOSLG(B7-H2)

LAG3

PDCD1(PD-1)

CD80

CD86

CD276(B7-H3)

CTLA-4

CD27

CD28

CD40

CD40LG

Functional Annotations

Pathways Regulating Glia
(178/180 Hs/Mm Genes)
Inflammation & Peripheral Immune Invasion
(187/188 Hs/Mm Genes)
Cell Stress & Damage Response
(127/134 Hs/Mm Genes)

Angiogenesis

Apoptosis

Autophagy

Cell Cycle

Hypoxia

NO Metabolism and Signaling

Oxidative & Nitrosative Stress

Proteotoxic Stress

Calcium Signaling

Circadian Signaling

Ion Transport

JAK-STAT

Lipid Metabolism

MAPK & PI3K

TGF-Beta Signaling

Wnt Signaling

Antigen Processing & Presentation

Cell Migration

Chemokines

Complement System

Cytokines

Inflammasome

Interferon Signaling

NK-kappaB Signaling

Phagocytosis

T-Cell Signaling

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