Microarrays Flashcards

(31 cards)

1
Q

What is a microarray?

A

An ordered assembly of nucleic acids immobilised on a solid support

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2
Q

What is usually the solid support in microarrays?

A

The solid support is usually glass

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3
Q

What is transcriptomics and what does it allow?

A

Study of transcription and their functions

Allows to classify samples

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4
Q

What is there in microarrays for gene expression?

A

Lots of copies of the same probe in a spot

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5
Q

What does each spot in microarrays for gene expression give?

A

Each spot gives the relative expression for one transcript

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6
Q

What do microarrays for gene expression detect?

A

Detect all known transcripts in one sample

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7
Q

When we scan the solid support in microarrays, what do we end up with?

A

We end up with red, green and yellow spots

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8
Q

What does each spot represent?

A

Represents one SNP

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9
Q

Whats involved in expression profiling workflow?

A

-Sample–>RNA extraction–>Labelling–>Hybridisation of labelled sample to array–>Detect a signal–>Data analysis

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10
Q

What needs to be done once you have collected raw data?

A

Microdata analysis

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11
Q

Steps involved in microdata analysis

A

Normilisation–>Hierarchial clustering–>Gene filtering–>Statistical test–>Generate gene list–>Biological interpretation

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12
Q

What is clustering?

A

A technique that organises data with similar patterns into classes

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13
Q

What is an alternative way of displaying similarities between samples?

A

Alternative ways are dendrograms

-Distant samples are less similar

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14
Q

What is also used in clustering?

A

Heat maps

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15
Q

Why do we use data repositories?

A
  • Microarray experiments aren’t cheap, so this maximises utility
  • Can share data
  • Easier to compare results
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16
Q

Techniques to predict cancer recurrence

A
Mamma print:
-Uses microarrays
-70 genes are observed
Oncotype DX:
-qRT-PCR used
-21 genes are observed
Mammostrat:
-Immunohistochemistry used
-5 proteins observed
Prosigna gene signature:
-58 genes observed
-Direct digital barcode used
17
Q

What do can we do in RT-PCR?

A

-Do PCR on cDNA and look whether things are expressed or not

18
Q

How can we make RT-PCR quantitative?

A

We can make it quantitative by counting the number of copies of amplified DNA present

19
Q

What is the Ct value and what does it stand for?

A

Stands for threshold cycle

Is a value to compare across all experiments and is fluorescence at 225 copies of the transcript

20
Q

Relation between cDNA and Ct value

A

The higher the amount of cDNA, the lower the Ct value

21
Q

How can you count the number of amplified molecules present?

A
  • Include a dye in PCR reaction mix that fluoresces when its incorporated in the PCR product
  • Or label a probe in the PCR that only fluoresces when its incorporated in the PCR product
22
Q

Why do we use qPCR?

A
  • Used to independently confirm differences in RNA levels between samples
  • Probe binding is noisy and differences can be detected that aren’t real, especially when differences are small
23
Q

What is a more accurate measure of RNA transcript abundance?State an advantage and disadvantage

A

RNA-seq

  • Data more reproducible
  • But its expensive
24
Q

Why is GWAS possible and how?

A

GWAS only possible because we can genotype large number of SNPs in large number of subjects

  • Possible by using microarrays that hybridise with genomic DNA adjacent to SNPs
  • SNP then extended by one base that is fluorescently labelled and detected using a HD scanner
25
What is a spot?
Its lots of copies of the same single stranded oligonucleotide -A probe essentially
26
What is each probe for?
Each probe is for genotyping one SNP
27
What is each probe designed to do?
Designed to hybridise with one SNP
28
What are copy number variants?
Sequences which are greater than 1kb that have different copy numbers in different people Range in size and can see repeats or absentees.
29
Structural variants of copy number variants
- Arise due to: - Deletion - Insertion - Inversion
30
Steps involved in Array-CGM
1. Patient DNA taken and labelled green with fluroesence and control labelled red 2. Control and patient DNA are mixed and hybridised to array of DNA fragment
31
What do red and green areas show in array CGM?
Show difference between normal and patient DNA