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Printable Handouts
Navigable Slide Index
- Introduction
- Genome architecture in eukaryotes
- The range of genome sizes in eukaryotic groups
- K-value paradox
- C-value paradox
- N-value paradox
- Gene number vs. cell number
- Sequencing of the human genome
- The human genome is disappointing
- The genome is empty
- Gene -dense and gene-poor chromosomes
- Humans are not original
- Homologs of human proteins
- The proportion of noncoding DNA
- The genetic basis of human complexity
- Genome architecture in human and mouse
- Mouse and human genetic similarities
- Exon DNA occupation in human genome
- Exon DNA occupation in mouse genome
- Distribution of number of genes vs. exons
- Exons in eukaryotic genomes
- Exons in human genome
- Exons in mouse genome
- Introns in human genome
- Introns in mouse genome
- Chromosome size in human & mouse genome
- Exon and intron length
- Genome design in human and mouse
- Genome architecture in unicellular eukaryotes
- U-genome
- Genome size and gene number
- Unicellular eukaryotes have smaller genomes
- Unity and diversity
- Conclusions about eukaryotic genomes
- “Junk DNA”
- Further reading
- Architecture, diversity & infectious diseases
- Viral genomes & reverse vaccinology
- Science 2003; 302:602
- Sequence of human papillomavirus (HPV)
- Phylogenetic trees of HPV
- Genomic organization of enterovirus
- Modelling of the enterovirus 71 capsid structure
- Pathogenesis of viral infections
- Infectomics & virogenomics
- Viral – host interactions
- Virogenomics
- Viral transcriptomes
- DNA microarrays
- Diagnostic virology
- Microarray analyses of virus-infected cells
- Viral infectomics (1)
- Viral infectomics (2)
- Viral infectomics (3)
- “Infectomics”
- Transcriptome & proteome analyses
- Focus on lytic viral infections
- Dengue microarray analysis (1)
- Dengue microarray analysis (2)
- Modulation of apoptotic pathways
- Novel information - transcriptional level (Dengue)
- Dengue infectomics references
- SARS infectomics
- SARS microarray analysis
- SARS infectomics - flow chart
- Enterovirus 71 (EV71)
- EV71 microarray analysis
- 2D proteomics analysis of EV71 infection
- EV71 infectomics
- EV71 infectomics references
- Discussion
- Challenges
- Gene knockdown strategies
- siRNA (1)
- siRNA (2)
- EV71 RNAi References
- Additional technologies
- Further reading
- Acknowledgements
Topics Covered
- Genome related paradoxes
- Sequencing the human genome
- Homologs of human proteins
- The genetic basis of human complexity
- Human genetics vs. mouse genetics
- Exons and introns in the human and mouse genomes
- Conclusions about eukaryotic genomes
- Viral genomes and reverse vaccinology
- Pathogenesis of viral infections
- Infectomics and virogenomics of different viruses (SARS, HPV, Dengue & E71)
- Diagnostic virology
- Gene knockdown strategies & siRNA
Links
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Talk Citation
Chow, V. and Sakharkar, M. (2019, January 2). The impact of genomic architecture and diversity on infectious diseases [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 3, 2024, from https://doi.org/10.69645/XFMO2550.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Vincent Chow has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
- Dr. Meena Sakharkar has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
A selection of talks on Microbiology
Transcript
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0:00
In this talk, we will discuss "The Impact of
Genomic Architecture and Diversity on Infectious Diseases".
The talk will be divided into two parts.
That is, human genomics and viral genomics.
0:17
In the first half of this presentation,
I will be discussing about genome architecture in eukaryotes.
0:25
Eukaryotic genomes are complex and vary in size over a range of 80,000,
but as is known that in biology,
to every rule there is an exception.
We have paradoxes.
0:41
The human appears to be more complex than the butterfly and a simple plant.
The human has 46 chromosomes,
the butterfly 250, and the plant 1,260.
The K-value paradox states that complexity does not correlate with chromosome number.
1:03
The human is more complex than the unicellular amoeba,
however, the genome size of a human is much smaller than an amoeba.
Hence the C-value paradox,
complexity does not correlate with genome size.
1:19
The human genome has about 28,000 genes,
the mustard genome has about 26,000 genes,
the rice genome has about 50,000 genes.
The human appears to be much more complex than the rice and the mustard.
The N-value paradox states that complexity does not correlate with the number of genes.
The life forms also differ in cell number.
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