Lecture 14 - Gene Expression Flashcards

1
Q

how does gene expression differ

A
  • by region in multicellular organisms
  • in development
  • in dynamic response to environmental signals
  • in disease states
  • by gene activity
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2
Q

what is the target of gene expression studies

A

mRNA

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3
Q

what type of RNA is most abundant in cells

A

rRNA, >70%

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4
Q

what type of RNA is least abundant in cells

A

mRNA, 3-4%

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5
Q

how is gene regulation mediated through RNA

A
  • transcription
  • RNA processing
  • RNA export
  • RNA surveillance
  • siRNA
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6
Q

what does Northern Blotting detect

A

specific RNAs

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7
Q

how does Northern Blotting deal with RNA

A

it isolates RNA from cells, separates them using electrophoresis, and probes them with labeled cDNA from a specific gene

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8
Q

how is RNA quantified in Northern Blotting

A

signal intensity

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9
Q

what are the steps in creating cDNA libraries

A
  • isolate RNA
  • convert RNA to complementary DNA through reverse transcriptase
  • subclone the RNA into a vector
  • transform and select for it in E. coli
  • sequence the cDNA inserts
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10
Q

what are microarrays

A

solid supports such as a membrane or glass microscope slide on which DNA of known sequence is deposited in a grid-like array

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11
Q

how are microarrays used to measure gene expression

A
  • RNA is isolated from matched samples of interest
  • RNA is converted to cDNA
  • it is labeled with fluorescence or radioactivity
  • it hybridizes to microarrays to measure the expression levels of thousands of genes
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12
Q

how do two colour microarrays work

A
  • you have a test and reference sample
  • each one is assigned a colour
  • the colours on the microarray indicate which cells express those genes
    e.g. red -> present in pathological cell, green -> present in normal cells, yellow -> present in both cells
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13
Q

what is the brightness proportional to in a microarray

A

amount of cDNA bound to the spot on a chip

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14
Q

what are the steps of RNA sequencing

A
  • RNA is isolated from the target cells/organisms
  • RNA is converted into cDNA
  • high-throughput sequencing is used to sequence reads (e.g. using Illumina)
  • reads are mapped to genes/genomes and reads are counted
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15
Q

what does data normalization do

A

separates true variation from variation due to experiment variability

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16
Q

what is an example of data normalization

A

using relative changes rather than absolute changes; fluorescence can be calculated as a ratio between experimental/control groups