OMICS Flashcards

(50 cards)

1
Q

Term omics refers to

A

a suite of technologies used in biology and medicine to comprehensively characterize and quantify pools of biological molecules in living systems

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2
Q

4 categories of omics

A

genomics
proteomics
metabolomics
transcriptomics

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3
Q

Genomics

A

study of an organisms entire genome - all DNA

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4
Q

Proteomics

A

large-scale study of proteins in a cell or organism

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5
Q

Metabolomics

A

analysis of small molecules in a system

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6
Q

Transcriptomics

A

study of all RNA transcripts produced by the genome

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7
Q

4 categories of genomics

A

structural
functional
comparitive
epigenomics

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8
Q

Structural genomics

A

mapping and sequencing the genome

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9
Q

Functional genomics

A

understanding gene function and expression

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10
Q

Comparative genomics

A

comparing genomes across species

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11
Q

Epigenomics

A

study of heritable changes beyond DNA sequence

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12
Q

Metagenomics

A

total gene content of microbial community

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13
Q

Metagenomics analyzes

A

pooled DNA or RNA from environmental sample containing organisms which have not been isolated/identified

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14
Q

DNA Sequencing Methods

A

sanger sequencing
next-gen sequencing (NGS/illumina)
nanopore sequencing
PacBio SMRT sequencing

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15
Q

Sanger sequencing

A

chain termination
gold standard for single-gene analysis

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16
Q

Next-Gen Sequencing (NGS/Illumina)

A

massively parallel
high throughput
short reads (about 150bp)

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17
Q

Nanopore sequencing

A

real-time
long reads (>100kb)
portable MinION device

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18
Q

PacBio SMRT Sequencing

A

single-molecule real-time
long reads
low error with CCS

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19
Q

Sanger sequencing step 1: dsDNA fragment is

A

denatured into two ssDNA fragments

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20
Q

Sanger sequencing step 2: a fragment of

A

ssDNA is multiplied into millions of copies

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21
Q

Sanger sequencing step 3: a primer that

A

corresponds to one end of the fragment is attached

22
Q

Sanger sequencing step 4: the fragments are

A

added to four polymerase solutions

23
Q

Sanger sequencing step 4: each solution contains

A

four types of bases (dNTP) but only one type of termination nucleotide (ddNTP)

24
Q

Sanger sequencing step 5: the chain grows until

A

a ddNTP is randomly added and when this is added DNA synthesis stops

25
Sanger sequencing step 6: the resulting dsDNA fragments are
denatured to obtain a series of ssDNA of various lengths
26
Sanger sequencing step 7: the fragments are
separated by electrophoresis and the sequence is read
27
Nanopore sequencing step 1: an enzyme
unzips the DNA helix into two strands
28
Nanopore sequencing step 2: a protein creates a
nanopore in the membrane which holds the adapter molecule
29
Nanopore sequencing step 3: a flow of
ions creates an electric current through the nanopore
30
Nanopore sequencing step 4: the adpater molecule keeps
DNA bases in place long enough to be identified electronically
31
Proteomics ________ and _________ all _________ expressed by a ________ at a ________ ________
identifies quantifies proteins genome given time
32
In proteomics unlike the genome, the proteome is
dynamic - changing with cell type, environment, and disease state
33
Key proteomics workflow
sample preparation protein digestion (trypsin) mass spectrometry (MS/MS) database search protein identification
34
Applications of proteomics
drug target discovery biomarker identification disease mechanisms
35
Transcriptomics captures
when and how much each gene is "turned on", revealing dynamic gene expression patterns
36
Key technologies in transcriptomics
RNA-seq microarrays single-cell RNA-seq (scRNA-seq) spatial transcriptomics
37
RNA seq
deep sequencing of all RNA high resolution and sensitivity
38
Single-cell RNA-seq (scRNA-seq)
gene expression in individual cells
38
Microarrays
hybridisation-based high throughput lower cost
39
Spatial transcriptomics
maps expression to physical tissue location
40
The metabolites measure in metabolomics are the
downstream products of gene expression and protein activity
41
Analytical techniques of metabolomics
NMR spectroscopy Mass spectrometry HPLC/gas chromatography-MS
42
NMR spectroscopy
non-destructive quantitative
43
Mass spectrometry
highly sensitive broad coverage
44
HPLC/gas chromatography-MS
separation + identification
45
Systems biology
takes a holistic approach, integrating data from multiple OMICS platforms to build comprehensive models of biological systems and understand emergent properties
46
3 categories of systems biology
data integration computational modeling predictive medicine
47
Data integration
combining genome, proteome, transcriptome and metabolome data
48
Computational modeling
mathematical models to stimulate biological networks
49
Predictive medicine
forecasting disease and drug response