18.02.07 Other arrays Flashcards

1
Q

What is the principle of array CGH?

A

Array Comparative Genomic Hybridisation (CGH) is a molecular technique based upon competitive hybridisation of a test sample and a control sample to identify any possible gains or losses at particular sites of interest.

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2
Q

In a genetic context, what can arrays be used for?

A

Within a genetic context, arrays can be used on either DNA or RNA samples in order to:

  1. determine copy number changes of genomic regions across the genome
  2. genotype multiple genomic loci (SNP arrays)
  3. measure expression levels of multiple genes (expression profiling)
  4. sequence various genomic regions in parallel (sequence capture array)
  5. determine epigenetic changes (methylation profiling)
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3
Q

What are the advantages of BAC arrays

A
  1. Less CNVs detected on uncertain significance
  2. High signal to noise ratio
  3. Accurate copy number information
  4. BAC clones spotted multiple times
  5. Detects segmental mosaicism
  6. Detect mosaicism as low as 10%
  7. Follow up FISH work quick as BACs available (same as imbalanced clone)
  8. Targets mapped to the human reference sequence produced by the International Human Genome Sequencing Consortium
  9. Interpretation of results (gains/losses etc) straight forward
  10. Able to target disease regions
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4
Q

What are the disadvantages of BAC arrays?

A
  1. Abnormalities may be missed as unable to distinguish gains/losses <85kb or those which fall in 600kb gaps
  2. LOH/UPD not detected
  3. Less sub arrays per slide therefore expensive
  4. Expensive dye swap required
  5. Only one patient per slide
  6. Relatively low resolution compared to other arrays therefore lower abnormality detection rate
  7. Design of array with dense genome coverage limited by the availability of BACs and presence of genomic architecture (eg segmental duplications)
  8. Gaps in clones prevents precise determination of breakpoints and gene content of the region (max and min coordinates may be quite different)
  9. Largely superseded by oligo and SNP arrays
  10. Difficult to reproduce (batch-batch variation)
  11. Single BAC CNVs may be false positives and need confirmation
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5
Q

What are the principles of a BAC array?

A

Large PAC, cosmid and fosmid clones of approx. 150-200kb in size are used (derived from the mapping stages of the human genome project).

BAC clones are propagated in vectors in bacteria, purified and amplified and then spotted onto a glass slide using ultra fine needles. Multiple copies of each BAC are spotted onto the array and distributed across the array. Two ‘sub-arrays’ of the same clone set can be spotted onto each slide.

Due to the large size, BACs are very stable and hybridisation is specific (high signal to noise ratio).

Whole genome BAC arrays developed which include a backbone clone set spaced at 500kb-1Mb intervals across the genome. The greater coverage of whole genome arrays compared to the initial targeted arrays developed increased the abnormality detection rate.

Dye swap tests (test and reference labelled in opposite dyes on each sub array) confirm abnormalities and exclude artificial results.

BAC arrays are used less now with the introduction of higher resolution oligo and SNP arrays (Neill et al, 2010). No reason to use them in modern diagnostic labs (some PGD labs may still use them for embryos

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6
Q

Describe some of the features of oligonucleotide arrays.

A

Made from synthetic single-stranded oligonucleotide fragments, ranging from 25- 85bp in size.

Platform manufacture methods (arraying strategies) include:

a) pre-synthesized oligos spotted on glass slides (usually used to produce custom-made oligo-arrays)
b) oligos are synthesized directly onto a silica surface (in situ synthesis) using laser-directed photochemistry (Nimblgen/Affymetrix eg Gene Chips) or inkjet technologies (Agilent/OGT)

bead technology where oligos, with a unique sequence of ~ 25bp (address) at the 3’ end, are attached to silica beads. The beads are then randomly deposited into wells on a substrate (i.e glass slide). The beads become immobilised in the wells, and the sample can be hybridised. When the array is scanned, the address sequence allows the oligonucleotide-bead combination to be identified. Each bead carries 100k x 70bp of single specific oligo (Illumina).

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7
Q

What is the average size and number of oligos in an oligo array?

A

Oligos small size (on average ~60mer) allows them to be packed more densely onto an array slide, therefore achieving a far greater number of probes, giving a much higher resolution – approx. 50-200Kb depending on the platform used.

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8
Q

How many arrays can be performed from the same slide? What is the advantage of this?

A

Multiple sub-arrays can be packed onto the same array slide e.g. 1x1M, 4x180K, 2x400K, 8x60K, allowing multiple patients to be run on a single slide, therefore reducing cost. Examples of available oligo arrays include the SurePrint G3 Human CGH Microarray Kit, 8x60K by Agilent (has eight sub-arrays of 55,000 probes per slide with a median probe spacing of 41Kb over the whole genome with increased coverage at RefSeq gene at specific disease targeted regions) and the Cytosure ISCA array by OGT in collaboration with the International Standards for Cytogenomic Arrays (ISCA) Consortium (this utilises 60,000 oligonucleotide probes in multiples of eight arrays per slide (8x60 K format) and has high coverage of ISCA defined regions with a median probe spacing of 48 kb.

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9
Q

What are the advantages of an oligo array?

A
  1. Multiple patients can be run on a single slide reducing costs and improving consistency.
  2. Most cost effective platform is 8x60k array (
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10
Q

What are the disadvantages of an oligo array?

A
  1. Low detection frequency of mosaicism (<30% of abnormal cells)
  2. A greater number of aberrant probes are required in order to accurately identify a copy number alteration. This reduces the functional resolution of the array slightly.
  3. Poor signal to noise ratio due to small probe size, which can result to a significant number of false-positive outliers.
  4. Some imbalances are too small to be verified by FISH and alternative methods are required (QPCR, custom MLPA etc).
  5. Cannot detect UPD or LOH.
    However, hybrid SNP/oligo arrays (20-60mer) have been developed allowing for the simultaneous, high-resolution detection of copy number and copy-neutral variations, including LOH and UPD (Agilent).
  6. The detection of variants of unclear clinical significance (VOUS; CNV) occurs more frequently with high-resolution oligo arrays – interpretation of these variants can impose a burden on laboratories and clinicians. Several databases are available to help in the interpretation of VOUS (Database of Genomic Variants, dbVar, DECIPHER and ISCA). As this data set grows, the frequency of VOUS results should be reduced.
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11
Q

What are expression arrays?

A

Expression arrays allow the simultaneous investigation of the expression of thousands of genes by typically comparing two or more highly related cellular or tissue sources that differ in an informative way e.g. expression of genes at different time points in embryonic development, expression of genes in cultured cells after exposure to drugs, expression of genes in tumour cells at different stages of malignancy, expression profiles for disease and normal phenotypes

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12
Q

What are the processes involved in an expression array?

A
  1. RNA –> cDNA (reverse transcription)
  2. cDNA labelled with Cy3, Cy5 or biotin
  3. Labelled DNA applied to array and hybridised. Intensity of hybridisation is quantitative
    4, Compare different populations on the same or different chips
  4. Expression data analysis using clustered algorithms that group genes and samples based on expression profiles
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13
Q

Give an example of an application of an expression array in human disease.

A

Expression profiling in tumours: historically, tumours were classified using TNM classification - tumour size (T), involvement of lymph nodes (N) and presence of metastases (M). Molecular methods have been used to further characterise tumours, i.e. FISH and PCR to identify characteristic rearrangement, especially in leukaemia.

In other cancers, characteristic chromosomal rearrangements have proved more difficult to identify, although some progress has been made using massively parallel sequencing technologies. E

xpression profiling of tumours using microarrays has been used as an alternative approach, to identify genes that are upregulated or downregulated compared to the normal tissue, and may be used to predict clinical outcome or response to a given treatment e.g. in breast cancer. Microarrays are now widely applied to the study of human cancer: delineating molecular subtypes, disease progression and treatment response.

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14
Q

How can expression arrays be utilised in breast cancer patients?

A

Two research groups have identified prognostic signatures for breast tumours i.e. factors that provide information on the natural course and outcome of the cancer, unrelated to therapeutic interventions

o 70-gene prognostic signature (Mammaprint) developed on Agilent platform found to be strong predictor for metastasis-free survival

o 76-gene expression signature developed on Affymetrix technology - comparable predictive power for remission to Mammaprint. For examples of study and technology see

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15
Q

Why isn’t expression profiling of breast tumour samples performed in a diagnostic setting?

A

Despite potential for improving breast cancer management and increased understanding of disease biology, molecular signatures have not yet been used in a diagnostic setting - not yet accurate and reproducible enough to be advantageous over traditional methods. The major challenge remains the identification of potential new molecular targets for the development of new therapeutic strategies.

Expression profiling should be used in conjunction with other methods to analyse genetic and epigenetic changes in DNA, microRNAs, proteins and functional proteins, some of which are detailed below

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16
Q

What is expression profiling of microRNAs?

A

miRNAs) are small noncoding RNAs that are thought to have a regulatory role in the cell. Cancer cells show abnormal miRNA expression profiles (miRNAs are downregulated in most tumours) and so have been targets of expression profiling.

17
Q

What is the utility of studying miRNA expression?

A

Lu et al (2005) performed miRNA expression profiling in various tumour types and found that miRNA expression profiles performed better at discriminating between different tumour types and between tumour and normal cells

miRNA expression of chondrosarcoma (rare type of sarcoma of the bone) was investigated in 2013 and a wide variety of miRNAs were differentially downregulated in chondrosarcoma compared to non-tumours cells.

Piva et al (2013) reviewed miRNAs crucial role in breast cancer and showed there is a correlation between the expression profile of oncogenic miRNAs and tumour suppressor miRNAs. miR-221 plays a crucial role as it is significantly overexpressed in triple-negative primary breast cancer and the p27Kip1, a validated miR-221 target, is downregulation in aggressive cancer cell lines.

18
Q

How can studying epigenetic changes in tumours be studied by expression array?

A

• Investigating epigenetic changes in tumours: gene expression is regulated by the concerted action of hundreds of transcription factors and chromatin proteins, as well as by epigenetic mechanisms. Microarray-based techniques can be used for genome-wide mapping of in vivo protein-DNA interactions and epigenetic marks e.g. methylation. Comparison of the methylation pattern between normal and tumour cells allows the cancer epigenome to be characterised.

19
Q

Which methods are available to study epigenetic changes?

A

ChIP-chip
DamID (DNA adenine methyltransferase identification
Bilsulphite modification followed by microarray
functional studies using RNAi cell microarrays:

20
Q

Describe ChIP-chip

A

-ChIP-chip (chromatin immunoprecipitation combined with microarray detection): cells are treated with a cross-linking reagent (usually formaldehyde), which covalently links protein complexes to DNA in situ. Cross-linked chromatin is isolated and fragmented (with the transcription factors and the chromatin modifications still being in place) and an antibody against the protein of interest is used to precipitate the chromatin fragments that include that protein (immunoprecipitation), together with the attached DNA fragments. To identify the attached DNA fragments, cross-links are reversed and DNA fragments are labelled with a fluorescent dye and hybridised to genome-wide microarrays. ChIP-on-chip locates protein binding sites that may help identify functional elements in the genome. For example, in the case of a transcription factor as a protein of interest, one can determine its transcription factor binding sites throughout the genome. Other proteins allow the identification of promoter regions, enhancers, repressors and silencing elements, insulators, boundary elements, and sequences that control DNA replication.

21
Q

What is DamID (DNA adenine methyltransferase identification)?

A
  • DamID (DNA adenine methyltransferase identification): an alternative to Chip-chip, transcription factor or chromatin-binding proteins of interest are fused to DNA adenine methyltransferase. Fusion protein is expressed in vivo, and Dam is targeted to the binding site of its fusion partner. The Dam methylates adenines in the immediate vicinity of the binding sites, which are then identified by purification or selective amplification from genomic DNA, which is fluorescently labelled and hybridised to a genomewide microarray. Key advantages of the DamID system over ChIP are that it does not require the use of antibodies, and the process handles only DNA, avoiding complications with unstable RNA or proteins.
22
Q

How does Bilsulphite modification followed by microarray hybridisation work?

A

CpG islands in promoters of specific genes are hypermethylated in cancer genomes. Sodium bisulphite converts cytosine to uracil but leaves 5-methylcytosine (methylated cytosine) unchanged. Oligonucleotide probes on the microarray hybridise specifically to either the converted or the unconverted sequence. Using this method, the Cancer Genome Atlas Research Network tested 2305 genes for tumour-specific promoter methylation in a study of glioblastoma multiforme, and identified specific methylation at the promoter of MGMT, a gene encoding a DNA repair enzyme (Cancer Genome Atlas Research Network, 2008). Wani et al (2013) analysed the promoter hypermethylation at CpG islands of the p16 gene in CRC patients among the Kashmiri population and co-related this with the expression pattern of p16, using a bisulphite modification kit. Promoter hypermethylation correlated with the decreased expression of p16 in CRC patients leading to the diseased phenotype. Therefore aberrant hypermethylation of 016 contributes to the process of carcinogenesis of CRC and may be developed into a valuable tool for CRC diagnosis at early stages.

23
Q

How do fFunctional studies using RNAi cell microarrays: work ?

A

: RNA interference (RNAi) is a post-transcriptional method of gene silencing. In the research community cell-based RNAi screens are used for loss-of-function studies. Recently the development of cell microarrays have introduced the possibility of rapid and very large scale RNAi studies. Technique: RNAi reagents are printed on a standard glass microarray slide. Arrays are placed in tissue culture dishes, and cultured cells in medium are added to the arrays. Cells that adhere to the spots internalise the printed material and become transfected, and the remaining cells form a non-transfected lawn between spots. Microarrays are then fixed and prepared for immunofluorescence, staining for DNA and F-actin, in situ hybridisation, apoptosis detection or other assays. Has been called ‘reverse transfection’ because the cells are added on top of the nucleic acid instead of vice versa