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Evaluate RNA samples for “fit for purpose” use in downstream applications considering integrity, purity, and potential biases
→ RT-PCR: Moderate Quality OK
→qPCR: High purity + no DNA
→RNA-seq: High integrity (RIN > 7)
→Cloning cDNA: Full length transcripts
Explain how structural features of eukaryotic mRNA (5’ cap and poly-A tail) enable selective purification of mRNA from total RNA
Eukaryotic RNA is unique because of its 5’ cap and 3’ poly-A-tail
These features can be selected for out of all of the other RNA through affinity chromatography or magnetic bead based separation
Compare strategies for mRNA enrichment, including poly(A)-based selection, and justify their use in different experimental context
poly(A)-based selection: Oligo(dT) beads hybridize to poly(A) tails. It targets mature, polyadenylated eukaryotic mRNA and requires high quality RNA
rRNA depletion: Probes hybridize to rRNA, followed by removal, Targets poly(A) and non-poly(A) RNAS such as non-coding RNA and immature mRNA
Describe the molecular mechanism of cDNA synthesis, including first-strand and second-strand synthesis and the roles of reverse transcriptase and DNA polymerase
Core components:
Template RNA
Primer
Reverse transcriptase
dNTPS
Buffer
First strand: Reverse transcriptase (an RNA-dependent DNA polymerase) reads the RNA template and synthesizes a DNA strands
Second strand: RNase H removes the original RNA template, and DNA polymerase synthesizes the complementary DNA strand to create a double helix
Design an appropriate cDNA synthesis strategy by selecting primer types based on RNA quality and experimental goals
Oligo(dT) primers: Use if you want only mRNA and full-length transcripts
Random Primers: Use if the RNA is degraded of if you want to sequence all RNA types
Gene-specific: Use for RT-qPCR when you only care about on specific target gene
Identify sources of bias and error in cDNA synthesis and predict their impact on downstream results
RNA degraded
Wrong primer choice
DNA contamination
Poor enzyme activity
Explain how DNA microarrays are constructed from genomic or cDNA sequences
Select genes: an entire genome or a few unique genes that represent selected species
Generate DAN probes: cDNA or synthesized oligos
Spot on slide: robotic printing onto glass chip. Each spot = one oligo = one gene
Organized grid: Known position = known gene identity
General workflow
Do the experiment: treat cells with control and experimental conditions
RNA isolation: from both control and experimental conditions
Prepare RNA for hybridization to DNA microarray: reverse transcription. Fluorescent labeling
DNA microarray (aka=chip: incubate labeled cDNAs from samples with chip. Wash to remove non-hybridized materials
Scanner
Describe how labeled cDNA hybridized to probes to measure gene expression
Isolate mRNA
Covert to cDNA
Label cDNA with fluorescent dyes: Conditions A is green while condition B is red
Hybridize to chip
Wash and scan fluorescence
Interpret microarray output data (heat maps, fold change)
→ Two dimensional, color-coded grid visualizations
→Transforms thousands of gene expression values into format
→Map expression levels to color: red is high, green/blue for low and black for no detected mRNA
→Uses: identify clusters of co-regulated genes. Compare experimental samples. Detects, upward or downward, shifts in expression patterns
Design a basic microarray experiment with appropriate controls
:D
Key considerations:
Biological question: ex stress response in yeast
Controls: replicates (biological and technical)
Normalization: correct for technical variation
Statistical analysis: avoid false positives
Evaluate strengths and limitations of microarrays vs RNA-seq
Limitations of microarrays
Requires known sequences
Limited dynamic Range
cross-hybridization (noise)
cannot detect novel transcripts
Quantitative accuracy < RNA-seq
Applications of microarryas
Disease profiling (cancer subtypes)
Drug response
Environmental stress response
functional genomics
infectious disease diagnosis
Microarrays vs RNA-seq
Microarray: No novel genes, moderate sensitivity and lower cost
RNA-seq: Yes novel genes, high sensitivity and higher cost
Use microarray data from SGD to generate hypotheses about gene function
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Define sense and antisense RNA
Antisense: An RNA molecule that is complementary to the mRNA
Sense RNA: Normal RNA that has been produced from the noncoding strand of DNA
describe how bacterioferritin synthesis regulated by antisense RNA
Bacterioferritin: Bfr, encoded by bfr. It regulates the storage and utilization of iron, which is essential for the growth and metabolism of organisms
When iron is plentiful: antibfr gene is not expression and only the bfr mRNA is produced, Bfr protein is made
When iron is low: both bfr and antibfr mRNA are expressed. RNAi and no Bfr protein is made
RNA interference
→Triggered by the presence of dsRNA and results in the degradation of mRNA or other RNA transcripts homologous to inducing dsRNA. It is conserved across eukaryotes
Mechanism: RNAi is a naturally occurring cellular process where dsRNA is converted into small interfering RNAs (siRNAs), which then guide cell machinery to degrade complementary mRNA transcripts and suppresses gene expression
dsRNA is introduced
Dicer processes into siRNAs
siRNA loads into RISC
RISC targets and cleaves mRNA
Describe the function of Dicer, RISC, siRNA and Argonaut
Dicer: Cleaves dsRNA into siRNAS. It is an enzyme from the RNase III family. It processes dsRNA or pre-miRNA into 21-23 nucleotide siRNA or miRNA
RISC: “RNA-induced silencing complex”. It mediates gene silencing
siRNA: “short interfering RNA”. Guides RISC to target mRNA
Argonaut: core slicer protein in RISC. Associate with small non-coding RNAs such as siRNA and miRNAs. Function in RNA-based silencing mechnaisms by altering protein synthesis and affecting RNA stability. It can even participate in the production of a new class of small non-coding RNAs known as piwi-interacting (pi)RNAs. Its a core component of RISC and has slicer activity for target mRNA cleavage. It contains four conserved domains: the N terminal, PAZ (Which is a responsible for small RNA binding), Mid and PIWI (which confers catalytic activities) domains
Describe microRNA and its effect on gene expression
microRNA: Endogenous small RNA transcribed as hairpin precursors. Regulates gene expression by imperfect pairing of mRNA. Binds 3’ UTR of target mRNAs and causes translation repression or mRNA degradation
Transcription →pri-miRNA
Drosha processes→ pre-miRNA
export to cytoplasm
dicer cleaver → mature miRNA
load into RISC
Differentiate between siRNA and miRNA
siRNA: exogenous, perfect match, cleavage
miRNA: endogenous, imperfect match, repression
Both processed by Dicer and function via RISC
Describe how RNAi can be used experimentally to prevent gene expression
RNA interference (RNAi) = post-transcripional gene silencing
Uses small RNA molecules: siRNA that targets specific mRNA for degradation that results in reduced or no protein expression
→dsRNA introduced into a cell, processed by dicer→ siRNA. siRNA loaded into RISC complex. Guide strands bind complementary mRNA and specific mRNA is cleaved and degraded.
determine gene function
study essential genes
validate targets from microarray/RNA-seq data
pathway anlysis
Real world
Disease research
Antiviral straegies
Functional genomics screens
Explain the purpose of RNA-seq
Its a method to sequence and quantify RNA molecules within a sample. It provides a snapshot of the transcriptome.
It answers
Which genes are expressed?
How much are they expressed?
Are there alternative transcripts?
Outline the workflow for RNA-seq, scRNA-seq and Drop-seq
RNA-seq:
RNA isolation
mRNA enrichment
cDNA synthesis
Library preparation
sequencing
data analysis
ScRNA-seq
Isolate individiual cells
capture RNA from each cells
convert to cDNA
add cell-specific barcodes
pool and sequence
assign reads back to original cells
Drop-seq
-1. AFter obtaining sequencing reads consisting of cell barcode, UMi and cDNA
first group reads by cell abrcode before aligning cDNA reads
Counting unique molecules per cell per gene using UMIs
Estimate the transcript abundances
Distinguish RNA-seq from older methods (ex. microarrays)
RT-PCR: its low throughput
Microarrays: require known sequences
RNA-seq: unbiased and genome wide
Interpret basic RNA-seq outputs
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Describe key applications of RNA seq in research and medicine
Disease mechanism discovery
biomarker identification
cancer diagnostics
cell development
cell-specific responses
Describe how the CRISPR system protects bacteria from viruses
Captures, stores and utilizes snippets of viral DNA to identify and destroy future infections
→Adaption: acquisition of new sequences
→Expression: stored sequences expressed during a subsequent infection
→Interference: effector complex targets and cleaves incoming foreign DNA
Describe how CRISPR systems are classified
Class One Systems: Common in nature and more complex
Class Two systems: rare in nature and less complex. Requires just one Cas protein, Cas9 nuclease, and two RNA components (tracrRNA and crRNA)
Differentiate between PAM and PFS
Both are short flanking DNA or RNA sequences required for CRISPR-case systems to identify, bind and cleave targets
PAM: Protospacer adjacent motif: used for DNA targeting systems like Cas9. It is required for Cas nucleases to distinguish between bacterial CRISPR arrays(no PAM) and viral DNA (contains PAM). Double stranded DNA
PFS: associated with RNA-targeting systems. Often regulate cleavage activity. single-stranded RNA
Describe an sgRNA and how it is created
→help to target specific DNA sequence in a gene of interest
→must be adjacent to PAM sequence
→Minimize off-target matches
Define the different components necessary for gene editing by CRISPR
→Cas9 Protein (DNA-cutting enzyme)
→guide RNA (gRNA) sequence-specific targeting
For CRISPR, define the term off-targets
unwanted effects from CRISPR targeting
Describe the basic steps of a CRISPR experiment
Define your goal
Design the Guide RNA (gRNA)
Choose CRISPR System
Deliver components into cells
Screen and validate results
Describe how CRISPR can be used experimentally to alter gene expression
Transcriptome
set of all RNA moelcules, including mRNA, rRNA, tRNA and other non-coding RNA< produced in one or a population of cells
Proteome
Total set of proteins encoded by a genome or the total protein complement of an organism
Translatome
total set of protein that have actually been translated and are present in a cell under any particular set of conditions
Isoelectric focusing
high-resolution electrophoretic technique that separates proteins or peptides in a gel based on their unique isoelectric point (PI)
Provide reasons for the discrepancy between: proteome and translatome, proteome and transcriptome
Transcriptome and proteome:
Some RNA molecules are non-coding
Alternative splicing →multiple protein products
Levels of mRNA may not correlate with protein levels due to differential rates of mRNA translation or degradation
Regulation of proteins by additions of PTM
Regulation of protein by chemical modifications
Modifications by proteolytic cleavage or addition of sugar or lipid residues to give glycoproteins or lipoproteins
Proteins themselves may be degraded and vary greatly in stability
Proteosome and translatome
Promteosome: entire set of proteins expressed by genome cell, tissue or organisms
Translatome: subset of mRNAs that are actively being translated into proteins by ribosomes
Identify the essential components of an expression vector used for eukaryotic expression systems
Strong promoter
Ribosome binding site
selectable marker
tag sequence
PolyA site
Describe the basic steps in recombinant protein expression
Clone gene into expression vector
Introduce into host cell
Induce expression
Harvest cells
Isolate protein
Compare pros/cons of bacterial/insect/mammalian expression systems
Bacteria:
→Pros: Fast growth rates, inexpensive, easy to scale up for high volume production, well-understood genetics
→Cons: lack machinery for complex PTMs, frequent formation of insoluble inclusion bodies, often requires difficult refolding steps
Insect:
→Pros: capable of complex PTMS, higher yield than mammalian cells, safter to use than mammalian pathogens, efficient of multi-protein complexes
→Cons: time-consuming to develop the virus, more expensive than bacteria
Mammalian
→Pros: provides native human-like PTMs and glocosylation, proper protein folding, high bioactivity, and secretion into media for easier purification
→Cons: very expensive, slow growth, lower yields, fragile cell lines require strict culturing conditions
Compare/contrast transient and stable transfections
Transient: DNA is not integrated into the genome but remains within the nucleus. Genetic material is not passed onto progeny and genetic alternation is not permanent
Stable transfection: DNA integrates into the genome. Transfected material is carried stably from generation to generation; genetic alteration si permanent
Define transfection and transduction relative to mammalian expression vectors
Transfection: Non-viral. Uses agents or physical forces to force DNA across the cell membrane
Transduction: foreign DNA is introduced into a cell via a viral vector
Design a basic mammalian expression strategy
:p
Describe the following inducible promoter systems: lacUV, T7, Tet-on, Tet-off
lac UV:
Components: Lac promoter, LacI repressor, Isopropyl B-d-1 thiogalactopyranoside (IPTG) as an inducer
Default stage is off and when inducer is added turns on
T7:
T7 promoter, T7 RNA polymerase, very strong transcription
Very useful when you want high protein production in bacteria
Tet-ON
→Tet added→ transcription ON
Tet-OFF
→Tetracycline added→ Transcripion off
Differentiate types of chromatography discussed
For each of the protein tags: describe their structure and how they work in protein purification
Differentiate: polyclonal and monoclonal antibodies, primary and secondary antibodies
Differentiate between native and denatured proteins
Describe the functions of the following: SDS-PAGE, SDS, B-mercaptoethanol, Coomassie blue, ponceau S
describe western blotting
compare and contrast methods for localizing a specific protein in cells