Big Data Flashcards

1
Q

Name the ‘OMICS’

A
  • Genomics
  • Transcriptomics
  • Proteomics
  • Metabolomics
  • Epigenomics
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2
Q

What can microscopy data show?

A
  • Live flourescent tagging imaging in cells
  • Automated image analysis
  • Fixed cell staining
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3
Q

What is the transcriptomics experimental strategy?

A

Looking at what does factor X do to Cell type Y?

  • Extract mRNA and convert to cDNA
  • Sequencing library is prepared
  • Sequenced on a Next Generation sequencing machine
  • Statistical computer comparisons (e.g comparing mRNA expression levels)
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4
Q

What is FoldChange?

A

DIfference in gene expression from tested and control groups

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5
Q

What is a volcano plot?

A

A plot used for gene expression analysis
- Plots significance on one axis and foldchange on the other which basically shows the magnitude of the difference

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6
Q

What is meant by a heterogenous population?

A

heterogeneous population consists of individual elements or units that differ from one another in various characteristics.

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7
Q

What does single cell RNA sequencing do?

A

profile the gene expression of individual cells within a heterogeneous population.

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8
Q

How does single cell RNA sequencing work?

A
  • Isolation of individual cells
  • Break it down e.g. dissect tissue
  • Single cell suspension then occurs
  • Sequencing library is then prepared
  • Ran through illumina NGS machine
  • Data plotted on a UMAP plot
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9
Q

Why is a UMAP plot good?

A
  • Can see which genes are expressed by particular cell types
  • Can see if cell type specific gene expression changes
  • Can see change in cells over time
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10
Q

Why are Genome wide association studies perfect for big data and genomics?

A
  • When looking at disease-related genes, there isn’t just one
  • GWAS identifies SNPs found more frequently in patients than healthy individuals
  • High-scoring SNPs are then associated with the disease and are implied to potentially have causative roles
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11
Q

How is GWAS data presented?

A

Manhattan plot
- Genome position on x axis as chromosome number
- Y axis shows degree of association
- Each plot is a labelled individual SNP

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12
Q

How would we find out what the SNP is doing to the patient?

A
  • Combine GWAS with gene expression studies
  • Identify the cell types in which the genetic variants have functional consequences and how those variants regulate gene expression
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13
Q

What is the 100,000 genome project?

A
  • Patients with rare diseases and cancer can receive personalised treatment
  • Provide blood sample, genome sequenced, molecular diagnosis
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14
Q

What is the UK biobank?

A
  • 500,000 adults had anatomical, biochemical and physiological measurements taken
  • Followed over time, which developed diseases
  • Measurements used to make disease causative associations
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