CMB2000/L20 High-Throughput Research Flashcards

1
Q

How long has the shift to high-throughput approaches taken?

A

20-25 years

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2
Q

Why has the transition to high-throughput research been so slow? (2)

A

Skills gap - lack of training
Messiness - noisy and unpredictable data

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3
Q

Give 2 approaches used before high-throughput research became prevalent.

A

Formaldehyde gel electrophoresis
DEPC treated everything
Radiolabelled RNA probes

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4
Q

Name 2 new technologies made possible by high-throughput research.

A

High throughput sequencing
Mass spectrometry
Cytometry
Imaging

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5
Q

What can be analysed by high throughput sequencing? (3)

A

Genomes
Transcriptomes
Epigenomes

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6
Q

What can be analysed by mass spectrometry? (3)

A

Proteomes
Metabolomes
Lipidomes

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7
Q

Give 3 scales in high-throughput experiments.

A

Number of parameters measured
Number of observations made
Number of biological replicates

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8
Q

What do mass spectrometers consist of? (3)

A

Ion source
Mass analyser
Detector system

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9
Q

Define mass spectrometry.

A

Analytical technique that measures mass:charge ratio (m/z)

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10
Q

Explain mass spectrometry using trypsin as an example. (4)

A

Proteases cut at defined sites
Trypsin cute C-terminal of K or R
Proteins cut with an enzyme will give series of peptides of different masses
This is peptide mass fingerprint

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11
Q

Define cytometry.

A

Technique for quantitatively measuring markers on cells

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12
Q

Explain cytometry. (3)

A

Labelled antibody binds to marker and is detected
Cells can be retained (cell sorting)
Historically low-throughput (small number of markers)

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13
Q

Describe dimensional flow cytometry.

A

Modern fluorescence flow cytometer
Analyse multiple features per-cell
Rapid analysis of 100,000s of cells

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14
Q

Describe mass cytometry. (4)

A

Remove dependence on fluorescence
Detect antibodies by heavy metal tags (time of flight mass spec)
Up to 40 parameters
No spectral overlap
Cells destroyed

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15
Q

Give 3 difficulties with high throughput.

A

Noise can drown out signal
Prone to experimental effects - increases noise
Expensive - tendency to reduce sample size

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16
Q

Describe the fMRI experiment on salmon. (3)

A

Test brain regions (voxels) for activity in response to stimuli
Salmon shown series of photos depicting humans in social situations with specified emotional valence
Salmon determined emotion experienced

17
Q

Define machine learning. (3)

A

Statistics good for inferring population relationships from data
ML finds generalisable predictive patterns in data
High dimensional data in general lends itself to ML

18
Q

What is machine learning used for? (3)

A

To predict genomic features (location of genes, splice sites)
Predicting protein sequences
Applied to high throughput data e.g., personalised medicine