Week 5.2 Transcriptomics Flashcards
(13 cards)
1
Q
A
2
Q
RNA-Seq
A
- presence and quantity of RNA
molecules in a biological sample - gene expression in sample
- Alternative gene spliced transcripts, exon-intron boundaries
- Post-transcriptional modifications
- Genetic variants such as fusions, indels, SNVs
- Changes or differences in gene expression levels or patterns
- Different populations of RNA subtypes
3
Q
Indirect RNA sequencing
process overview (6)
A
- Isolate RNA from samples
- Fragment DNA into short segments
- convert RNA fragments into cDNA
- Ligate sequencing adapters and amplify
- Perform NGS sequencing
- Map sequencing reads to transcriptome/genome
4
Q
reverse transcriptase
features
A
- synthesize DNA from RNA template
- polymerase and nuclease active sites
- retroviruses, prokaryotes, and eukaryotes
- used to extend telomeres in eukaryotes
5
Q
retrovirus
A
- virus that uses RNA as genomic material
- use reverse transcriptase to convert viral RNA genome into complementary DNA molecule which integrates into whole cell’s genome.
- cell can produce more retrovirus that infects other cells
6
Q
Oxford Nanopore Technologies
Direct RNA sequencing
library preparation process
A
- double-stranded Reverse Transcription Adapter (RTA) ligated to RNA through attached complementary sequences (mRNA polyA tail or target specific)
- Y-shaped adapter ligates with motor protein on RNA strand
- Motor protein directs RNA through nanopore in 3’5’ direction
- sequence >30kb read length
7
Q
differential gene expression analysis
Heat map
A
- row = gene
- column = patient
- Patients grouped together by histologic types of cancer
- red dot = upregulated gene in patient
- green dot = downregulated gene in patient
- patients and genes grouped into clusters = identify differential gene expression patterns associated with different subtypes of cancer
8
Q
Single-cell RNA sequencing
features
A
- provides expression profile of individual cells
- can identify and characterize transcriptionally distinct subpopulations and states within cell population
- enables detailed unbiased characterization of transcriptional features underlying important phenotypes
- enable accurate characterization of heterogeneity
- understand mechanisms of cancer pathogenesis,
- develop effective treatment strategies
- identify novel targets for immunotherapy and drug development
- current gold standard for defining cell states and phenotypes
9
Q
Single-cell RNA sequencing
process
A
- isolate single cells from tissue
- reverse transcription: individual cells separated into microwells or via emulsion PCR
- Amplification and sequencing like bulk RNA
10
Q
Single cell sequencing
Reverse Transcription Droplet Method
process
A
- Cells encapsulated into droplets in automated machine via microfluidic chip that combines all components with oil
- Each droplet contains one cell, one gel bead, and reverse transcription reagents
- 4-part oligos attached to gel bead.
- sequencing primer
- 10X barcode unique to gel bead
- UMI sequence unique to cDNA molecule
- poly DT sequence to capture cDNA (mRNA polyA tail or target RNA) and functions as primer for reverse transcription. - cell is lysed in droplet and undergoes reverse transcription
- oil is removed and cDNA pooled together for PCR amplification and sequencing.
- cDNA from the same cell are identified through 10X barcode.
- number of UMI’s can be used for digital count of cDNA copy to analyze gene expression level
11
Q
Single cell RNA sequencing
Reverse Transcription Droplet Method
features
A
- 10X Genomics
- data can be used for cellular phenotype classification or new subpopulation identification
- allows detection of rare cell types
- high throughput: 500 to 10,000 cells can be captured per sample from single cell suspension
- need fresh samples
- need to preserve initial relative abundance of MRNA in cell to identify rare transcripts
- requires tissue dissociation and cell isolation
12
Q
Spatial transcriptomics
features
A
- method for assigning cell types identified by mRNA readouts to their locations in histological section
- used to determine subcellular localization of messenger RNA molecules
- able to capture positional context of transcriptional activity within intact tissues (regions or single cells)
- use intact tissue sections and spatial transcriptome slide (glass slide containing arrays of spatially barcoded oligo probes)
13
Q
Spatial Transcriptomics
process (8)
A
- Tissue samples cut into very thin slices, fixed, stained and put on spatial transcriptomic slide
- undergoes enzymatic permeabilization process so molecules in cell diffuse down to slide
- mRNA released and binds to barcoded probes
- Reverse transcription carried out in situ
- synthesized cDNA contains spatial barcode and UMI provide information about gene expression and location
- libraries prepared and analyzed by sequencing
- spatial barcode present within each generated sequence allows data for each mRNA transcript to be mapped back to position on slide.
- by overlaying picture of tissue with slide, can analyze point of origin for mRNA transcripts within tissue section