The Omics Revolution Flashcards

1
Q

List the classic measures of toxicity (6 measures)

A
  • Histopathology
  • Clinical Chemistry
  • Metabolism
  • Physiology
  • Enzymology
  • Electron Microscopy
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2
Q

List the new measures of toxicity (2 categories, 3 measures each)

A
  • Gene expression:
    • RNA Microarrays
    • RT PCR
    • Deep sequencing
  • Protein expression:
    • Western Blot
    • Eletrophoresis
    • ChIP
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3
Q

Define the goal of the various “Omics”

A

To determine whether the expression of genes, RNAs, proteins or metabolites (“signatures”) can serve as markers to predict toxicity

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4
Q

Define toxicogenomics and its three principle goals

A

The effects of a toxicant on all of the denes of a cell or tissue at the DNA, RNA protein, and metabolite levels.

  • Understand the relationship between environmental stress and human disease susceptibility
  • Identify useful biomarkers of disease and exposure to toxic substances
  • Elucidate the molecular mechanisms of toxicity
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5
Q

Mow many of each histone are on a nucleosome, and how many base pairs does it coil?

A

2 of each (H2A, H2B, H3, H4) octameric

147 bp

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6
Q

What is the difference between Transcription and Translation in terms of gene expression?

A

Transcription: DNA -> preRNA

Translation: RNA -> protein

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7
Q

True/False? Gene expression precedes protein changes and toxicity

A

True

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8
Q

True/False? Changes in gene expression are not measurable at low doses

A

False

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9
Q

List the route of a typical toxicogenomic flow scheme (3 steps)

A

1) Exposure
2) In vivo study (dose/response time course)
3) Gene expression
- Amount of genes perturbed by candidate in each organ
- Signalling pathways representing significantly perturbed genes
- Compare with toxicogenomic database for predicted toxicological effects based on similarities of gene expression profiles

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10
Q

What are the 6 applications of a toxicogenomic flow scheme?

A
  • Deciphering mechanism of action/pathway analysis of toxicant
  • Response at low doses
  • Revealing potentially novel health effects
  • Identification of perturbed pathways -> targeted follow up
  • Biomarker discovery
    Predictive toxicogenomics
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11
Q

What year did affymetrix debut in?

A

1993

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12
Q

List the two types of microarrays and give examples of each.

A
Spotted chips: 
    - cDNA or PCR products
    - Oligonucleotide
        Perfect match/mismatch
        Long oligonucleotide
        Short oligonucleotide

On-Chip Synthesis:
- Photolithography (affymetrix)

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13
Q

What are the six advantages of microarrays?

A
  • Eliminate questionable or low-quality measurements
  • Remove probes in background
  • Adjust the measurements to facilitate comparisons
  • Select genes that are differentially expressed between samples
  • Identify the biological processes and molecular functions that are alteredd
  • Place data in the context of a health outcome
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14
Q

Define the p-value

A

P(data|H0 is true)
Probability of getting the same results givne that there is no link

low p-value incurs statistical significance

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15
Q

What are 4 reliable ways to determine significant changes in expression?

A
  • Fold change
  • t-test/ANOVA
  • Permutation test (MANOVA or SAM)
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16
Q

Define GO

A

Gene Ontology, a controlled vocabulary of terms for describing gene product characteristics and gene product annotation data (includes cellular compartment biological function, and molecular process)

17
Q

What does the KEGG pathway record?

A

everything

  • metabolism
  • genetic information processing
  • environmental information processing
  • cellular processes
  • human diseases
  • Drug development
  • Toxicity assessment
18
Q

What are the 10 steps in designing an experiment to study mechanism of action?

A
  • Adequate sample size!
  • Appropriate selection of time points
  • Appropriate selection of treatment conditions
  • Appropriate tissue/cells sampled
  • Sample collection - randomization or block design
  • High Quality RNA!
  • Randomization and microarray experimental design
  • implementation of QA/QC
  • Appropriate normalization/filtering
  • Validation with alternative technologies!
19
Q

Possible reasons for discrepancies in published studies? (6)

A
  • Lenient filtering methods for poor or low intensity spots
  • Inclusion of saturated signals in analysis
  • incorrect probe matching
  • Improper data handling
  • incorrect statistical analysis
  • insufficient biological validation
20
Q

Limitations of toxicogenomics? (6)

A
  • Difficulty in analysis of high density data
  • Difficulty in integration of data obtained by different technologies
  • Difficulty in linking “omics” data to specific adverse effects
  • Difficulty in translating statistical assessments into biological understanding
  • Limitations of incomplete functional annotation of genome databases
    Incomplete knowledge of functional pathways and networks, particularly trans-genome relationships
21
Q

Methylation of DNA histones typically _______ gene expression + name the two enzymes responsable

A

Suppresses.

SAM - S-adenosylmethionine
DNMT - SNA methyltransferase

22
Q

List the 5 histone modifications

A
Acetylation
Methylation
Ubiquitination
Sumoylation
Phosphorylation
23
Q

5 types of non coding RNAs

A
miRNAs
piRNAs
siRNAs
lncRNAs
tsRNAs