Julian Großkreutz Summary Flashcards
Parkinson Syndrome
- alpha Synucleine
Amyotrophic Lateral Sclerosis
- TDP43
Genetics ALS - Frontotemporal Dementia (20 % fam.)
Analysis strategies:
- linkage analysis, candidate gene analysis
- GWAS
- Exome sequencing
- genome sequencing
Gene associated with ALS: C9orf72
FTD: MAPT, GRN
ALS: SOD1, hnRNP A1, NEK1, others
KIF5A virants with the respective allele
- loss of function: 2
- missense: 88
- missense: 4
- SNV: 123
C9orf72 ALS: miRNA, nuclear pore and TDP43 pathology
- RAN translation
- FUS mutations
- alternative splicing defects
- altered microRNA biogenesis
- disrupted binding of long introns
- protein aggregates
- aging
What are microRNAs?
-> key data
Active (mature) microRNA (miRNA) molecules:
Feature: single stranded (ss) non-coding RNAs (20-25 nucleotides)
Occurence: almost all eukaryotes encode miRNAs
Function: RNA silencing: Suppress gene expression in a sequence-specific manner at post-transcriptional level
-RNA interference (RNAi)
- Posttranscriptional gene silencing (PTGS)
What are microRNAs?
-> RNA silencing
- components of ribonucleoprotein complexes: RNA-induced silencing complex (RISC)
- miRNAs bind to complementary target mRNAs
- complementary in part or in whole to target mRNAs
Biogenesis of miRNAs: from genes to functional miRNAs
Intergenic & intronic miRNA genes
pri-miRNA (primary miRNA transcript)
-> Large primary transcripts contain one or more
hairpin structures consisting
- an incomplete base-paired stem (~35 nts)
- an apical loop of variable size
- flanking single-stranded 5’ and 3’ segments
- the length of these structures is ~100-120 nts
pre-miRNA (precursor miRNA)
- Length: 70 nts
- Stem-loop structure (see above)
- Length of the stem region: ~20-25 nts
- two nucleotide 3’ overhang
Note: mirtron transcripts = pre-miRNAs!
miRNA duplex (miR/miR)
- ~20-25 nucleotides per strand
- RNA with incomplete stem complementarity
- two nucleotide 3’ overhangs on each strand
Mature miRNA (miR)
- single-stranded miRNA which can bind to various target mRNAs by base pairing
Drosha-dependent miRNA biogenesis pathway in the nucleus
Transcription of intergenic and intronic miRNA genes:
- long pri-mRNA with 5’ cap and poly(A)
Processing of pri-miRNAs into pre-miRNAs:
- Microprocessor:
nuclear heterotrimeric protein complex consisting of:
- Drosha a RNase III endonuclease
- Two DGCR8 (dsRNA-binding protein)
Export:
- The Exportin-5/Ran-GTP complex recognizes the RNA stem together with the short 2 nucleotides 3’ overhang of the pre-miRNA
- Transportation of the pre-miRNA from the nucleus to the cytoplasm.
Processing of pre-miRNAs into miRNA duplexes: Dicer
Helicase
- autoinhibitory module
- binds the apical loop of the pre-miRNA
- binds cofactors
- contributes to processivity (long dsRNAs)
Central domain (DUF, Platform, PAZ)
- binding to 5’-phosphate 3’-overhang
Nase IIIa/Rnase IIIb
- intramolecular dimer
- create the catalytic centers
dsRBD
- binding of RNA substrate
Dicker 218 kDA
Nase type: RNAse III endonuclease
Localization: cytosolic
Substrates: long dsRNAs or pre-miRNAs
Cleavage products: dsRNA duplexes (siRNA, miRNA)
Cofactors: dsRBD1, dsRBD2, dsRBD3
dsRNA-binding proteins (dsRBP) TRBP or PACT: improve processing efficiency and accuracy
Formation of the RNA-induced silencing complexes (RISC)
Loading of the miRNA duplex
- Composed of one of the four human Argonaute proteins (AGO1-4), Dicer, and a dsRNA binding protein (e.g., TRBP or PACT)
- Loading of miRNA duplex onto Argonaute
Selection of the mature miRNA strand
- Pre-RISC consists of a Argonaute and a miRNA duplex
- Removal of the passenger strand leads to the formation of an activated RISC
- The active RISC (miRISC) contains a single stranded miRNA (guide strand) which directs the complex to the target mRNA for posttranscriptional gene silencing
Model of microRNA (miRNA)-mediated gene silencing
- miRISC binds to the 3’ UTR of the target mRNA
- AGO recruits the scaffold protein GW182
- GW182 interacts with poly(A)-binding protein and de-adenylase complexes
1) Repression of cap-dependent translation via CCR4-NOT (de-adenylation independent)
2) De-adenylation by de-adenylase complexes
3) Removement of 5’ cap by de-capping proteins
4) mRNA degradation by 5’-3’ exonuclease
Target binding of microRNAs
- a single miRNA (seed region!) might bind to more than 200 target mRNAs (3’UTR)
- several miRNAs can bind to a single mRNA
- a single miRNA can bind to multiple binding sites on a single target mRNA
-> determining the function of miRNAs is: to identify their target mRNAs
How can we confirm computational predicted miRNA targets?
Functional studies: Altering endogenous level of miRNAs in cells
1) Transfection of synthetic Dicer substrate dsRNA (27-30 nts) which enter the pathway of endogenous miRNAs and increase their activity -> gain of miRNA function
2) Transfection of synthetic antisense oligonucleotides which reduce the endogenous miRNA activity -> loss of miRNA function
Mechanisms of deregulated expression of microRNAs
Epigenetics: DNA Methylation, Histone Acetylation, Histone Methylation
Transcription Factor: p53, p73, Snai, PPARgamma, Samd4, p63, ETS-1, Ascl2, Klf9
miRNA biogenesis and processing: Dicer, Drosha, DGCR8
CeRNA: competing endogenous RNA
Gene Sequence Alteration: Gene deletion (mir-15a, mir-16-1), Gene Amplification (miRNA-17 ca 92 cluster)
miRNAs can cast as oncogenes or tumor suppressors in cancer cells
GAIN OF FUNCTION
-Gene amplification
- Translocation
- Epigenetic regulation (DNA methylation down regulated)
- Inhibition of ceRNA expression
LOSS OF FUNCTION
- Deletion
- Mutations
- Epigenetic regulation (DNA methylation unregulated)
- Overexpression of ceRNA
PROMOTION OF TUMORUGENESIS BY
- upregulated proliferation, genetic instability, invasion, angiogenesis
- down regulated cell death
ceRNA = competing endogenous RNAs
miRNAs: New biomarkers in cancer disease
-> miRNA profiling
miRNA profiling methods:
- Reverse Transcription-quantitative PCR (RTqPCR)
- Hybridization-based microarrays
- NGS-based RNA-seq
Tumor biopsy (invasive)
Patient serum (non-invasive)
Diagnostic biomarker
- Discriminate between tumor and normal
- Discriminate between benign and malignant disease
- Classification of different subtypes
- Detection in an early stage
Predictive biomarker
- Information on therapy response
- Treatment decision
Prognostic biomarker
- Predict disease outcome
- Predict disease-free survival
- Monitor disease recurrence
Cell death: necrotic and apoptotic cell disintegration
NECROSIS
1. Cell swelling
2. Later. clumping and random degradation of nuclear DNA
3. Cell rupture
4. Release of cellular contents
5. Inflammation and damage of neighboring tissue
APOPTISIS
1. Cell shrinkage
2. Condensation and fragmentation
3. Formation of beds and apoptotic bodies
4. No release of cellular contents
5. Phagocytosis, no inflammation, individual cell death