Analytics Flashcards

1
Q

Protein purification advantage and disadvantage

A

Ad- fast growth rate, cheap, transform bacteria from plasmid dna
Dis- proteins fold incorrectly, lacks some post transitional bodies

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2
Q

Protein purification

A
  • Lyse bacteria cell walls without denaturing protein if Interest, freeze thawing, triton x non ionic detergent sonication
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3
Q

Purify protein from extract lysate

A

Differential solubility, Affinity chromatography, Size exclusion chromatography, Ion exchange chromatography, Hydrophobic interaction chromatography, Isoelectric Focusing
Can require multiple rounds of purification

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4
Q

Track protein in purification process

A

Track protein in purification process by western blotting - Primary antibody binds target protein & Secondary antibody with tag for detection allows visualisation

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5
Q

Protein assay - Bradford assay / Bicinchoninic acid (BCA) assay

A

in alkaline solution - proteins reduce Cu2+ to Cu1+
Cu1+ complexes with BCA (Purple → Darker purple = more protein)
Include a range of known protein concentrations - Allows the construction of a standard curve

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6
Q

Enrichment factor- protein purification

A

Yield (%) = (enzyme activity after purification step / enzyme activity in original sample) x 100
Enrichment factor = specific activity after purification step / specific activity in original sample
Aka purification factor
Dependent on - origin of the starting source.& efficiency of different steps.

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7
Q

Differential solubility

A

Initial purification step
Polar water molecules interact with hydrophilic regions of protein - increases protein solubility - Oxygen in water more electronegative
Anything affecting protein charge, structure or water interaction affects solubility

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8
Q

Ammonium sulphate precipitation - salting out with high salt concentration

A

Proteins fold - charged/ polar amino acids = hydrophilic protein surface
Uncharged hydrophobic amino acids hidden inside structure
Proteins are solubilised by hydrogen bonding with polar water molecules
Addition of high salt concentration = displacement of the water molecules & precipitation of the protein
Water binds with salt ions instead of proteins
Different proteins have different solubilities in aqueous solution
Ammonium sulphate - Highly water-soluble, cheap. No permanent denaturation

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9
Q

Salt Removal and Buffer Exchange

A

Salt may not need to be removed prior to next purification step – gel filtration chromatography and hydrophobic interaction chromatography
Dialysis
Sample is placed in a bag with semi-permeable membrane - permeability based on target protein
Pores too small to allow passage of your protein - but big enough to allow passage of salt ions
Several changes of buffer eventually remove the salt from your sample
Gel filtration - pores separates sample components based on size
Load dissolved protein (and salt) onto column – flush sample through with buffer
Small salt ions enter the pores of resin, whilst large proteins pass straight through (carried in the buffer)
Diafiltration - Pressure-driven filtration membrane
Salt passes through membrane BUT Protein is retained in sample
New buffer can be added and protein can also be concentrated

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10
Q

pH & protein solubility

A

Proteins have an overall charge - dictated by the presence of amino acid side chains that can gain or lose H+
overall protein charge changes with pH
Charged amino acids are hydrophilic – form hydrogen bonds with water, increasing protein solubility
Isoelectric point - pH where a protein has no net charge
least solubility due to lack of interaction with water molecules - precipitation

Heat denaturation
Heating = denature →exposes hydrophobic areas that bind each other, causing protein precipitation

Some proteins don’t unfold after heating- thermos table above 45 degrees

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11
Q

Affinity resin/matrix composed of an affinity molecule

A

bound to a solid support
e.g. Sepharose beads
Affinity matrix specifically recognises protein of interest - Protein may have specific tag
Beads can then be centrifuged and washed, removing unbound extract components (batch purification)
Purified target protein can then be eluted from beads
Affinity resin can also be packed into a column (‘column purification) for larger scale purifications
Add cell extract, then several wash steps and then elute target protein
Wash steps with increasing NaCl concentrations

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12
Q

His Tag purification

A

His-Tag purification
Bacterial expression vector for the production of a His-tagged protein
His-tags bind strongly to beads coated with nickel (Ni2+)
Often used for purification of proteins from bacteria

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13
Q

Epitope tags

A

often used for protein detection, affinity tags for purification
Consideration - potential functional effect of attaching a large tag
N-terminal or C-terminal
Can also tag proteins with biotin – binds strongly to streptavidin
GFP tags (big ~30kDa) - allow visualisation of proteins (and immunoprecipitation) using ‘GFP-TRAP’ (Chromotek)
Some tags can be removed after purification (e.g. enterokinase cuts after DDDDK in FLAG tag)

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14
Q

Gel filtration chromatography

A

separates proteins based on size
Add cell extract and allow to pass through column with buffer (mobile phase)
Collect multiple fractions over time – increasing volumes of buffer
Elution volume = the volume of buffer at which a particular protein exits the column
Monitor protein elution with UV absorbanc

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15
Q

Bigger protein = elute faster - gel filtration

A

You know which fractions (elution volume) correspond to a specific mass
Can load sample in high salt buffer - therefore can perform straight after protein precipitation

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16
Q

Protein of interest

A

After GFC, take a sample from each fraction and perform a Western blot for your proteins of interest
GFC resins - designed to have pores that allow separation of proteins within a particular mass range
Can check mass range of sample using SDS-PAGE, then choose resin

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17
Q

Column calibration

A

A range of protein standards are used to calibrate a column
Protein elution monitored by UV Abs and elution vol matched to mass
Each lane corresponds to a fraction collected during gel filtration

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18
Q

Protein complexes -
Factors Affecting Separation in GFC

A

Protein complexes - Complexes generally intact when proteins in native state
Factors Affecting Separation in GFC
Size/mass of protein - molecular radius, proportional to mass
Shape of protein (e.g. globular vs fibrous)
Length of column – longer columns give better separation
Amount of protein – too much protein can cause broad elution peaks
Resin material (e.g. pore size)

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19
Q

separates proteins based on charge

A

charge comes from ionisation of amino acid side chains
At physiological pH, Glu and Asp lose H+ (acidic side chains)
At physiological pH, Lys and Arg gain H+ (basic side chains)

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20
Q

7 amino acids have side chains that can be ionised - ion exchange Chrom

A

Aspartic acid (pKa 3.9)
Glutamic acid (pKa 4.3)
Tyrosine (pKa 10.1)
Cysteine (pKa 8.3)
Arginine (pKa 12.5)
Lysine (pKa 10.8)
Histidine (pKa 6)
pKa value = acid dissociation constant (pH at which 50% ionisation occurs)

At pH below pKa - side chain accepts H+ (protonated)
At pH above pKa - side chain loses H+ (deprotonated)

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21
Q

Isolectric point

A

Overall protein charge - determined by the proportion of acidic and basic amino acids
Isoelectric point (pl) - pH at which protein has no net charge
pH below isoelectric point = net positive – decreasing pH (protonation)
pH above isoelectric point = net negative – increasing pH (deprotonation)
If you know pI of protein, then you can adjust the pH to alter net protein charge

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22
Q

Exchange resin - IEC

A

Cation exchange resin - Binds to positively charged proteins (‘cations’)
Resin has a –’ve charge (e.g. CM-cellulose, S-Sepharose)
Anion exchange resin - Binds to negatively charged proteins (anions)
Resin has a +’ve charge (e.g. DEAE-Sepharose, Q-Sepharose)
To purify target protein - need to use appropriate buffer pH and the correct resin
Want target to bind to resin
Bound proteins are then eluted with buffer containing increasing salt concentration

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23
Q

Hydrophobic interaction chromatography

A

interaction between hydrophobic patches on protein and resin coated with hydrophobic material

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24
Q

In aqueous solution - HIC

A

In aqueous solution - proteins have hydrophilic surface with hydrophobic patches
water forms a ‘shield’ around the protein surface – hinders hydrophobic interactions
HIC - sample is prepared and loaded onto column in high salt buffer
Salt - displaces water and exposes hydrophobic patches
For protein binding to the resin, salt concentration is inversely proportional to protein

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25
Hydrophobicity - HIC
For protein elution, a decreasing salt gradient is used.
26
Factors that may impact elution
Choice of salt in buffer (Hofmeister series) Include non-ionic detergents (reduce hydrophobic interactions) Reduce temperature Change pH – proteins are least soluble (most hydrophobic) at their isoelectric point
27
Isolectric focusing
At a specific pH proteins have an overall neutral charge Isoelectric focusing Protein is loaded onto a gel with stable pH gradient An electric field is then applied – proteins migrate based on their charge Proteins will migrate along the pH gradient until they reach their isoelectric point At high pH - protein is -’vely charged At low pH - protein is +’vely charged phosphorylation - adds a negative charge to proteins and alters migration in IEF
28
2-Dimensional Electrophoresis- protein analysis
First separation - based on charge (IEF) -follow with SDS-PAGE Second separation - based on molecular weight (smallest move fastest) Can perform Western blotting after 2D electrophoresis to detect protein of interest
29
SDS-PAGE protein analysis
Separates proteins based on their size Need to unfold proteins (denature) Use sodium dodecyl sulphate (-’ve charge) and DTT (reduces disulphide bonds) and heat to 95C 5min Protein samples are loaded into wells of gel and electric current is applied -’vely charged proteins migrate towards positive electrode After electrophoresis, proteins can be visualised using Coomassie Blue Large proteins remain near top, smaller proteins migrate to bottom - Need to include molecular weight marker on gel
30
Checking Expression and Purity of your Protein
Protein assay to measure protein concentration - then analyse purity using SDS-PAGE Lysis buffer and wash steps can be modified to improve yield and purity of your target protein Ireduce non-specific binding to your affinity resin For protein binding - salt concentration is inversely proportional to protein hydrophobicity For protein elution - decreasing salt gradient is used.
31
Factors that may cause low proteins concentration
Poor protein expression in bacteria – optimise growth/IPTG Inefficient lysis – try other methods/combinations Inefficient purification – reduce detergent/salt Inefficient elution – optimise Protein is insoluble – optimise expression conditions/use mammalian host Protein degradation - proteins are prone to degradation throughout the process Minimising Proteolysis - Major cause of protein degradation are protease enzymes released during cell lysis Low temperature, Work quickly, protease inhibitors, chelators, SDS-PAGE
32
Factors that affect protein migration - purity factors
Proteins generally migrate based on mass - but can migrate based on size Large post translational modification (e.g. ubiquitylation and glycosylation) cause proteins to migrate at higher mass Small PTMs (e.g. phosphorylation) generally don’t affect protein migration If proteins are not fully denatured, they might migrate as complexes (e.g. dimer) Inefficient reduction of disulphide bonds High content of basic amino acids can affect migration
33
Immunoprecipitation
precipitating a protein out of solution using a specific antibody to protein of interest agarose beads coated with protein A/G which bind to antibodies with protein of interest Beads insoluble and heavy - precipitate using centrifugation or magnetism isotype control antibody (gold standard) - primary antibodies that lack specificity to the target -help differentiate non-specific background signal from specific antibody signal. % input method = sample / input Fold enrichment = sample / noise (control)
34
Co-immunoprecipitation (Co-IP) & RNA-immunoprecipitation (RIP
Use - Analyse protein–protein interactions Sample preparation (non-ionic detergents - e.g., NP-40, Triton X-100) Pre-clearing (just beads) Antibody incubation (target antibody or isotype control antibody) Precipitation of protein/protein complexes Washing Elution and analysis of precipitate (low pH or high salt solution) Analysis - SDS-PAGE, Western blotting, Mass Spectrometry
35
RIP
Proteins bound to RNA Use - Study the physical association between individual proteins and RNA molecules in vivo. Classes Native – used to identify RNAs directly bound by the protein and their abundance in the sample. Cross-linked – used to precisely map the direct and indirect binding site of the RBP of interest to the RNA molecule.
36
Proteins bound to DNA-Chromatin-immunoprecipitation (ChIP)
Proteins bound to DNA Use - Investigate regions of genome associated with a specific protein Steps Cross-link and harvest cells (Cross link DNA & protein) - Cross linking agent = formaldehyde Cell lysis & chromatin fragmentation Immunoprecipitation Wash, elution and cross-link reversal (Remove DNA from protein) DNA cleanup and analysis of DNA - PCR, qPCR, microarray, sequencing
37
Controls
Input DNA - A chromatin sample processed parallel to the other samples but lacks the IP step. No Ab control - A chromatin sample processed parallel to the other samples but immunoprecipitated without specific antibody Isotype Ab control - A chromatin sample processed parallel to the other samples and immunoprecipitated with an isotype Ab control (IgG or IgM) Histone H3 antibody - A chromatin sample processed parallel to the other samples and immunoprecipitated with anti-H3 ab
38
Antibodies
must be highly epitope-specific to protein of interest in their native chromatin states or possible cross-linked formation. anything associated with chromatin can be ChIPed, if an antibody can be raised.- commercial kits protein of interest is immunoprecipitated together with the crosslinked DNA - Decrosslinking & Proteinase K digestion then DNA purification ChIP-PET (paired-end tag sequencing to determine long-range interactions) ChIP-DSL (DNA selection and ligation strategy using specific oligos) ChIP-BA: combining ChIP with bisulfite genomic sequencing for analysis of DNA methylation Methyl-DNA immunoprecipitation (MeDIP) PCR and qPCR - Identify DNA regions associated with the protein of interest - however primers bias toward sequences of interest. ChIP-ChIP = DNA microarray (genome mapping) Protein of interest is selectively ChIPed. ChIP-enriched DNA amplified by PCR & fluorescently labelled. An aliquot of purified input DNA is labelled with another fluorophore. 2 samples are mixed & hybridized onto a microarray. Binding of the precipitated protein to a target site is inferred when intensity of the ChIP DNA (cy5 label) significantly exceeds that of the input DNA (cy3 label) on the array.
39
Applications
DNA sequences occupied by specific protein targets The binding sites and distribution of a particular protein, such as transcription factor, throughout the entire genome, under specified cellular conditions Gene transcription and RNA polymerase activity Complex DNA/protein interactions underlying disease phenotypes Modification to protein, such as histones, that many influence chromatin structure and gene expression Nucleosome architecture and regulation of chromosomal maintenance
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Types of Data
qualitative – nominal scale (categories - can be converted into frequencies) ranked – ordinal scale (sequence order) quantitative – various scales (‘real’ numbers - nonparametric)
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Quantitative data
Discontinuous (discrete scale) - Obtained by counting (integers) Continuous (interval scale) - Obtained by measurement (Sf or Dp) Derived data – calculated from direct measurements (e.g. ratios, percentages, rates, etc
42
Stats
Accuracy - Closeness of measurements to true value (mean) Bias - systematic or consistent deviation of measured values from the true value Precision - Closeness of repeated measurements to each other (variability) Graphs X-axis = Independent variable (changes in experiment) Y-axis = dependent variable (measured)
43
Mean, SD , CoV
Median - Midpoint of a data set, ranked from low to high (tendency) less sensitive to outliers - central point of data (unaffected by variation/ skewed date) keeps data at normal distribution Mean - average value of the data average deviation from the mean - Would use all data values - but would be 0 as deviation below mean would cancel out that above the mean 95% of population lies within 2 SD of the mean true negative population = mean + 2SD = 97.5% - assuming normal distribution negative population in first log decade (10-1) eliminates true negative but detects weak positives Standard deviation - Standardised measure of spread in a data set (The positive square root of the sample variance = units same as mean) - lower SD = more precise Coefficient of variance (CV or CoV) - sample standard deviation in proportion to the sample mean CoV = (SD ÷ mean) x 100 Low CoV = higher precision Normal distribution - Mean, median, mode are all equal, bell shaped curve & 95% of population lies within 2 SD of the mean
44
Hypothesis
Alternative (H1) - There is a difference or relationship or association 2-tailed = difference could be in either direction (Gold Standard - testing for a difference vs. no difference) 2-tailed ‘working hypothesis’ - “There is A difference between the test results using method A and method B”. 2-tailed null hypothesis - “There is no difference between the test results using method A and method B”. 1 sided testing (1 tailed) - 2 possible one-sided (one-tailed) working hypotheses:(higher or lower) P value - the probability that the null hypothesis is true. If P is less than 0.05 - reject H0 and accept H1 If P is 0.05 or greater - accept H0 ( random chance)
45
T Test
Comparing 2 groups of data Based on Probability - accept or reject the null hypothesis →Reject null hypothesis if P <0.05 (<5%) continuous quantitative data T statistic - higher value = more likely the two sample means are to be different Paired t test - compares means from the same sample group before and after a specific intervention, or period of time. Unpaired t-test - 2 completely separate/ unrelated groups
46
ANOVA
ANalysis Of Variance Comparing more than 2 group Key advantage - only one test, rather than multiple tests → Reduce number of tests = remove number of false positives (type I errors) Box and whisker diagrams - 2 or more groups, single measurement Results - quote F statistic and the p value Continuous quantitative data Data must be normally distributed & Variances must be homogeneous (equal level of variability in each group) Samples must be independent of each other (not paired)
47
Variances
Why do we use unequal variances? To reduce number of stats tests as much as possible - better to assume unequal variance rather than do yet another test for equality of variance Interpreting stata results State test used - stat test performed to investigate….. state output values (mainly P value) state if we accept H1 or H0
48
Experimental design
Why we use Experimental design - investigate. Hypothesis,m plan, power, data, result Experiments - controls, variables, replicates Type of data to collect - quantitative, Ordinal scale, Qualitative (nominal) variables, stats, graphs Factorial design – alternative to changing one factor at a time. Less factors = less repeats full factorial method - in which all permutations are carried out Fractional factorial methods
49
Experimental d - manipulation
Manipulative = one or more factors are deliberately altered Purpose - explore cause and effect treatments = sets of conditions blocks = groups of replicates subjected to the same treatment
50
Experimental d - observations
Observational = Investigate links between variables of interest occurring in natural conditions Purpose - comparisons between natural situations treatments = sets of natural measurements
51
Type I vs Type II errors
Standard curve Left 0.05 = type II error Right 0.05 = type I error Rest = 95% (power, 1-β) the lower the value of P - the more confidence we can have in our decision to reject the null hypothesis and accept the alternative hypothesis.
52
Type 1 error
Type I error rate (α) - statistical significance level (0.05) (false positive) P value must be lower that 0.05 Reduce Type I error probability- set a lower significance level (but increases type II risk) Worse to make Accept null when should reject
53
Type 2 error
Type II error rate (β) - probability that a false H0 is retained (false negative) failed to find adequate evidence for a difference Higher power = lower type II error rate (increases type I risk) Reject null when should accept
54
Power
Power = the probability of correctly rejecting a false null hypothesis / of finding a significant difference Avoid type I or type II errors Reduce unnecessary risks As standard deviation increase, power decreases
55
Effect size
Effect size (ES) - measures the strength of the result (between 2 variables) solely magnitude-based - does not depend on sample size.(but needed to determine N) We need to know if ES found is applicable for population (relates to p value) derived from - Pilot study results, Published findings from similar studies, guesswork Stakeholders Cohen’s d - standardised mean ES used when comparing 2 means in a standard deviation unit (comparative) bigger effect = less samples d = (mean2 - mean1) / st.dev pooled
56
Sample size
Sample size (N) Increasing the sample size increases power - not a linear relationship often what is required to calculate might be restrained or fixed due to subject availability or resource limitation Do not waste resources or time Too many samples is better than too few Sample too small - unable to reject null hypothesis Sample too large - some subjects have been unnecessarily exposed to risk of harm
57
Probability
Probability (ɑ, P) P‐value - relates the likelihood that what you found is not due to chance. dependent on sample size Best practice - report effect sizes, p-values and conduct a power analysis Power calculation - knowing any 3 these values allows calculation of the other α and power are usually set
58
Power analysis
Check slide 18
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Enzyme assays 1
Calorimetry - measuring the amount of heat released or absorbed during a chemical reaction. exothermic (releases heat) vs endothermic (absorbs heat) Spectrophotometry - measure light absorption or the amount of chemicals in a solution Dry phase/ solid phase - portable, easy to use and point of care enzymatic assay kits (Fully quantitative or semiquantitative allows estimation of the content in a sample) → chemical (adsorption) bonds or covalent bonds Manometry - measure enzyme activity if one of the components is in gaseous form samples and reagents are placed in separate compartments and mixed at defined time period and the reaction can be followed as the reaction proceeds. end point and kinetic assays can be performed. E.g Oxygen consumption is measured in glucose oxidase Radiochemical methods Radioactively labelled substrate - used to follow the enzymatic reaction Highly sensitive where picomolar concentration of reactants and products can be measured Common radioisotopes - 3H (tritium), 32P (Phosphorus), 35S (Sulphur) ,131I (Iodine). enzymatic reaction is performed for a defined period and quenched using a reagent substrate is then separated from the product using electrophoresis or chromatography radioactive fraction of the product or the substrate is used to estimate activity of the enzyme
60
Enzyme assays 2
Electrochemical methods Potentiometric Techniques – Electrical potential generated is dependent on the concentration of the substance in solution Polarography/Voltammetry- Increased Voltage is applied between 2 electrodes immersed in a test solution and the change in potential is measured. composition of test solution determines current which flows at each instance Enthaplimetry - measures the enthalpy change during the course of a reaction Advantages - Sensitive, Easily adapted for various applications - don't need to know substrate or product Disadvantage - interference - e/.g tags, fluorochromes Requirements - Extremely accurate thermostatting or excellent insulation Spectrofluorimetry Formation of product or reduction of reactant concentration - measured by attaching a moiety that fluoresce at defined wave lengths At low concentrations - fluorescent intensity is related to the intensity of light (fo) of appropriate wavelength by the relationship If- Io x 2.3Eclq E is the molar absorption coefficient c the molar concentration l –length of the light path q= quantum efficiency (number of quanta fluoresced / number of quanta absorbed) Example - Dibutyryl Fluorescein (non-fluorescent) + Lipase activity → Fluorescein (fluorescent) not bulky chromatography column to separate and purify Does not interfere with reaction or product natural well established small fluorophores
61
Animal sources- therapeutic enzymes
Lipase (lipid breakdown) - Animal Pancreas Trypsin (protein breakdown) - Ox Bile Urokinase (inactive plasminogen into active plasmin) - Human Plasma / Cow Urine Lysozyme (cleaves peptidoglycan in bacterial cell walls)- Egg Adenosine Deaminase (deaminates deoxyadenosine) - Bovine intestine Pepsin (protein breakdown) - Hog Pancreas Dornase α (recombinant human cells) - mucus breakdown
62
Plant sources - therapeutic enzymes
Plant sources Papain (Carica Papaya) - protein breakdown Nattokinase (Natto) - dissolves blood clots Amylase (Malted barley-Hordeum vulgare) - starch, carbohydrate breakdown Bromelain (Ananas Comosus) - reduces swelling
63
Bacterial- therapeutic sources
Beta lactamase (Staphylococcus sp.) - antibiotic resistance Staphylokinase (staphylococcus sp.) - dissolves clots (plasminogen to plasmin) Rhodanese (Sulfobacillus sibiricus) - detoxify cyanide Streptokinase (hemolytic streptococci) - dissolve clots L-asparaginase (E.coli) - L-asparagine → L-aspartate + ammonia Collagenase (Clostridium histolyticum) - collagen degradation Amylase (Bacillus sp.) - starch, carbohydrate breakdown
64
Microbial sources (prefered workhorse)
Microbial sources (prefered workhorse) - bacterial (and fungal) Cheaper to Produce Content of enzyme estimated & controlled Reliable supply for Raw material of constant composition Other sources contain more harmful phenolic compounds, endogenous Inhibitors and proteases
65
Disease enzymology
Enzymes in plasma are measured Plasma specific enzymes - e.g fibrinolytic enzymes Secreted enzymes - secreted outside of cell (e.g pancreatic enzymes) Cellular enzymes - normally should be within the cell half-life dependent on inactivation or removal : AST = 17 hours CPK = 15 mins Factors that increase Plasma enzymes - cell damage, increased proliferation, increased enzyme synthesis, decreased clearance Level of increase of plasma enzyme based on - degree of damage, original intracellular levels & amount of tissue affected
66
Enzyme profiles to diagnose diseases & assess organ function
Enzyme profiles to diagnose diseases & assess organ function Identify where the enzyme came from - localise site of damage/ source of enzyme Measure organ specific enzyme Measure isoenzyme - catalyse the same reaction but have different primary structure, physical & chemical properties Isoenzymes Measurement - electrophoresis, immunoassay. Thermostability, Inhibitor sensitivities, Modified substrates, coenzyme analogues LDH isoenzyme detection = electrophoresis LDH1 &2 in heart muscle & RBC, LDH5 in liver and smooth muscle cells. Creatine Kinase (CK) or Creatine phosphokinase (CPK) -Electrophoresis & Column Chromatography: CK1 (BB), CK2 (MB),CK3 (MM - 100% of serum CK)
67
Automation
Automated enzyme analysis interference - Haemolysis, turbidity and lipaemia Inserted lag phase & automatic blanking Automated analyser - Ideal for kinetic studies but must be computer controlled → disposable, fast, discrete analysis Continuous flow = measures start point and predetermined time of end point, then plots curve Automation advantages - Improved efficiency, fast, precise, smaller samples, less errors, continuous, less manual labour
68
Flow cytometry
Flow cytometer - an instrument capable of simultaneous measurements of size/ granularity /fluorescence of a single cell. measurements on a per cell basis at rates typically in the order of 500 to 4000 cells per second in a moving fluid stream Flow cytometer vs cell sorter - Flow cytometer can only analyse cells, cell sorter can sort AND analyse cells Requirements Fluidics - The fluidic system is used to deliver the particles individually to a specific point imtersetcd by a laser Optics - Consists of an excitation source and data collection optics Electronics - conversion of optical signals into electronic signals for data analysis Analysis and Display Gating - the ability to select a population for analysis Intrinsic - No reagents or probes required (Structural) Cell size (Forward Light Scatter) Cytoplasmic granularity (90 degree Light Scatter) Pigment content e.g. Haemoglobin Extrinsic - reagents required (fluorochrome) Structural - DNA content, DNA base ratios, RNA content Functional - Surface and intracellular receptors, DNA synthesis, DNA degradation (apoptosis), Cytoplasmic Calcium, Gene expression Forward scatter - size (bigger the cell the larger the forward Scatter) Side scatter - granularity (internal structures & cell surface characteristics) frequency histogram - direct graphical representation of the number of events for each parameter analysed (1 dot = 1 cell)
69
Fluidics & electronics
Fluidics Sheath fluid – filtered isotonic saline (always flowing) Cells line up in centre of the tube due to low pressure (pressurised air forces liquid out) Troubleshooting - Cracked sample tube - air can’t force out liquid, so use new tube A stream velocity of 10m/s is required →10 micron particles will then traverse their own diameter in 1 microsecond. Electronics preamplifier - smoothen pulse to make louder logarithmic or linear scale Analog to digital conversion - converts voltage to binary for analysis on computer Flow cell - quartz glass - transparent to all light wavelengths (& cleanable) Spectral overlap PMT tuned to detect light in certain wavelength →FITC emits multiple wavelengths compensation first log decade is where negative signals seen auto compensation software - input colours wanted and works out values Beads should not go above unlabelled beads
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Excitation source Flow cytometry optics
Excitation source Arc lamp - glass envelope containing a gas or vapour at high pressure initial high voltage spark between 2 electrodes creates a plasma arc → maintained by the application of high current at a low voltage Prone to flicker and average life of arc lamps is short Laser - coherent, monochromatic, plane polarised, intense beam of narrow light Reacts with fluorochrome - The light emitted is reflected along the tube Brewster window - small quantity of polarised light passes through Plasma tube - contains gas under pressure which fluoresces under the application of current When these photons strike an atom in an excited state they release another photon of the same wavelength Common lasers - diode 636nm & argon ion Light released is larger wavelength than input
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Flow optics
Fluorescence - Occurs when a molecule is excited by light of one wavelength returns to the ground state by emitting light of a longer wavelength Application of fluorochromes cells can be stained (the cell will bind a Fluorescent Dye) And/or a fluorochrome conjugated with an antibody in an amount proportional to the quantity of the Binding Constituent (eg, DNA, RNA, Surface antigen). The cell’s emitted fluorescence intensity will then be proportional to the fluorescing cellular constituent Common fluorochromes FITC - Bright, Absorption maximum close to emission lines from both the argon laser and a mercury arc lamp (rare components are brighter) R-phycoerythrin (PE) - Can be excited at 488nm so only one laser required
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Flow cyt mechanism
Filters and mirrors Dichroic mirrors (beam splitters) - Allow light of a certain wavelength to be reflected while the remaining wavelengths can pass through Shortpass filters - Allow light below a specified wavelength through Bandpass filters - Only allows a specified range of light wavelengths through Longpass filters - Allow light above a specified wavelength through Detector types - data collection Photodiodes - Newer technology, High efficiency for visible spectrum, No adjustable gaim, Requires cooling Photomultiplier Tubes (PMT) - Detect Light/ fluorescence & are Most common detector in flow cytometry → Old well characterised technology & Cheap Mechanism - photon exchanged for 1 electron, then electron number doubles at dynodes until reaching anode (often 8 fold - 1 electrons, 2, 4, 8 etc) Amplify signal so good for the detection of weak fluorescence Adjustable sensitivity but poor efficiency in red (>650nm)
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3 colour lymphocyte immunofluorescence (LIFT)
Crossmatch - mix typed lymphocytes with patient serum combines tests - HLA I, HLA II, antibody (IgM, IgG) for less time Anti CD3/PE - only binds to T-Cells Anti CD19/PerCP - only binds to B-Cells Anti IgG FITC (or IgM / combo of both) T & B cells - same side and forward scatter - can be gated analyse results based on PE, PerCP or FITC PE = T cell FITC = antibody detects both T & B cells PerCP = B cell can detect hyperacute rejection Multiple individual typed cells required so slow can count 10,000 cells - sensitive & repeatable
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Multi-Colour Flow Cytometry (MCFC)
More Detectors More Lasers - intersect at different points at different times or filtered through a single point at the same time Increasing the number of lasers = increases the number of fluorochromes= increases the number of detectors Example MCFC - dako cyan Disadvantages - More cost & more complications Advantages More accurate population identification - e.g CD markers Use smaller specimens as more parameters are available to test in one tube Save time and reagents as fewer tubes are required to be tested Capable of collecting large number of events more efficiently
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Luminex Technology - multiplex
Luminex Technology - multiplex Beads are incubated with sample then washed before addition of PE reporter 96 well plate capability so high throughput is possible Allows multiple analyses in one tube (Maximum 100) - no cells just beads microspheres (beads) to which reagents can be bound to 5.6 μm polystyrene microspheres Each microsphere is dyed with a combination of red and infra-red fluorochromes - allows the definition of 100 different beads 2 lasers used - precision fluidics aligns microspheres in a single file, then passes them through the lasers one at a time First laser excites molecular tags - reaction measured by fluorescent intensity in real time (green) Second laser excites microsphere - fluorescent intensity of microsphere identifies the reaction (red)
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Cell sorter
Cell sorter - a flow cytometer with the added ability to physically separate out a population described by a gate Dako mo flo - Analyzes and sorts cells at 70,000 cells per second (expensive) Coincidence - At high sample event rates the possibility exists that cells not fulfilling the criteria may be sorted occurs if 2 or more cells are detected in the time frame of droplet formation Anti-Coincidence gating can be used to prevent this It works by creating a time window around the particle of interest relating to droplet formation If any other partial is detected in this window then the stream is directed to waste
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Cell sorter Accuracy
Accuracy of droplet charging droplet formation is a stable process - however can be affected by sheath temperature or sheath pressure (form faster of slower) This may lead to the charging pulse not being delivered to the correct droplet To overcome this it is common to charge more than one (2 or 3) droplet This can decrease purity without anti-coincidence gating (enrich mode), or decrease yield with anti-coincidence gating on Phase gating - Determines if cell is in the centre or outside quarters of the droplet window
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Flow cytometry evolution history
1934 – Moldovan described a method for counting cells automatically on a microscope 1949 – Coulter described the 1st automated blood counter based on conductivity 1953 – Crosland-Taylor utilise laminar flow and hydrodynamic focusing for particle alignment 1965 – Kamensky developed the use of spectrophotometry to quantitate cellular constituents, introducing multiple cellular measurements 1965 – Fulwyler developed the first cell sorter, allowing the physical separation of cells based on multiple parameters 1980 – Development methods and fluorescent dyes 1990 – Benchtop flow cytometers capable of 5 parameters at 10,000 cells/sec introduced size, cell content + 3 fluorochromes) 2001 – Flow cytometers capable of 11 parameters using 3 lasers at 25,000 cells/sec introduced (size, cell content + 9 fluorochromes)
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HLA antibody detection
Flow methods use beads coated in HLA or HLA typed cells Flow Cytometer (beads & cells) - slower, 8 beads Luminex (beads) - faster, up to 100 beads IgG - Complement fixing antibody → hyperacute rejection (destroy tissue) IgG against HLA I & HLA II show poor prognosis IgM - Non-complement fixing IgM associated with naïve CTL (CyA sensitive) Patients with IgM HLA antibodies - may also have IgG antibodies with the same specificity Screening bead - mixture of most common HLA antibodies (general) ID test - 1 HLA antibody per bead (specific)
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HLA antibody detection - luminex
Principle of luminex - only beads, faster HLA antigens bound to multiple microspheres - Up to 100 beads can be used.(all HLA in 1 tube) Dark - so UV doesn't bleach dyes from beads Temperature - reaction occurs at appropriate speed Agitation - beads will clump together if settled, so antibodies can’t enter Opsonize - if Patient serum contains complementary antibody - Wash - remove unbound antibodies gates - set to detect beads based on fluorescence 100ul anti human IgG-PE - added to mixture so bind if antibodies present on beads Reporting laser - any PE bound (i.e bead colour, red vs infrared) Beads are negative if no PE fluorescence Microsphere ID Laser - which bead is it (fluorescence as antibody present - i.e HLA A3 is positive as anti-HLA A3 present
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HLA typing
CD34 - Immature cell line marker for HSC Present on 2-4% of all normal marrow mononuclear cells Flow methods - use a mix of anti-CD34, anti-CD45 & fluorosphere to generate an absolute count CD45 - All WBCs CD34 - Immature cell line marker for HSC →Gate to detect CD34 Flow cytometers can’t work out absolute counts - volume used unknown Fluorospheres (158 per microlitre) - added to obtain absolute count Making flow cytometer quantitative - less problems and increases accuracy CD34 enumeration Absolute Count (cells/μl) = (No. CD34 cells + Fluorospheres Conc) / Number of Fluorospheres counted
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HLA typing By luminex
HLA Typing by Luminex PCR-SSO - sequence specific oligonucleotides Amplification of HLA gene locus of interest with biotinylated primers oligonucleotide placed onto bead (24-40bp) - specific to one HLA gene (if it binds gene is present) Denaturation of amplified product Hybridisation of amplified product with Oligonucleotide probes bound to beads Addition of Streptavidin/PE reporter - 4 streptavidin bind to 1 biotin laced DNA Computer analysis of positive results leads to assignments 2 signals - PE for gene presence, bead1 with HLA I
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Complement dependent cytotoxic test (CDC)
low resolution to serologically identify Digits 1 & 2 of HLA nomenclature. It uses HLA-specific antibodies, from characterised allospecfifc antisera or monoclonal antibodies that bind to the HLA molecules expressed on the surface of patient or donor cells. Peripheral blood lymphocytes are separated into T & B cells, allowing detection of Class I or Class II antibodies HLA class I expressed on the surface of all nucleated cells HLA class II expressed only on B cells, APCs & activated T cells. mineral oil - prevent liquid evaporation (very small volumes used) Antibodies- either a known (typing) or unknown (screening) specificity Donor = crossmatch Known HLA = screening
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Complement dependent cytotoxic test (CDC) Fluorescence
Lymphocytes stained with a fluorescent dye (e.g ethidium bromide) which is able to distinguish live cells from dead cells are then added and the reaction occurs for 30 minutes at 22oC, after which opsonization occurs if antibodies and lymphocytes bind and fluoresce. After these 30 minutes rabbit complement and PI (Pyridinium iodide) are added and the reaction resumes for an additional 60 minutes at the same temperature. Complement initiates the classical complement cascade and MAC formation if the antibody recognizes the antigen on the cell surface Bind to fc region of antibodies Allows PI into the cell and red fluorescence - green fluorescence means the Pt is not inside the cell,I.e alive Ink and EDTA are added EDTA stops the complement reaction ink provides a dark background for fluorescence The percentage of cell death in each reaction is noted and each well given a score, with multiple reactions analysed to determine a patient or donor’s phenotype.
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Platelet antigens - ABO, HLA I, HPA
Platelet specific - human platelet antigens (HPA) Bi-allelic co dominant A is most common variant, B is rarest variant Single point mutation - Difference between A & B
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NAITP - Neonatal alloimmune thrombocytopenia
NAITP - Neonatal alloimmune thrombocytopenia Reduced platelet count at birth Symptoms - Petechiae rash, bruising, intracranial haemorrhage, low platelet count (thrombocytopenia) Relatively common - 1/1000 pregnancies Can occur in first pregnancy 85% caused by mothers anti HPA-1a - antibody against most common variant HLA DRB3*0101 association - 1:3 chance of forming antibody Unusually unexpected - no antenatal screening programs Not associated with anti-HLA
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Platelet immunofluorescence test (PIFT)
Use fathers platelets & mothers serum father is source of platelet antigen being reacted against Gate on platelets based on low forward scatter (platelets are small) & low side scatter (limited granularity) Analyse gated region for FITC fluorescence
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Dna analysis
DNA analysis One of the first application of flow cytometry Malignant cells are often aneuploid - abnormal number of chromosomes More chromosomes = worse prognosis, resist treatment and increased malignancy of cancer DNA content of a tumour may be expressed as the DNA index DNA index - ratio between the DNA content of a tumour cell and that of a normal diploid cell Diploid = 2n (2 x no. chromosomes)
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Dna analysis method
PI binds stoichiometrically - number of molecules of probe bound = number of molecules of DNA Can’t enter cell through cell membrane Detergent (triton-X) - disturbs membrane - allows PI inside (fluorescence) Measure cell counts against PI fluorescence
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Cell cycle analysis
Application of flow cytometry - quantitation of cellular DNA Still method of choice - fast, accurate determination of cell cycle distributions 4N = duplication, return to 2N following mitosis (M) 
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Immunophenotyping
Immunophenotyping Help diagnose leukaemia - presence or absence of cell surface markers Identify expansion of type of cells - tumour identification
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Immunology - Chronic granulomatous disease
Phagocytes can’t form oxidative burst Phagocyte NADPH oxidase - responsible for generation of oxidative burst Inactivated by genetic mutation Phagocytes can’t form oxidative burst Symptoms/ susceptibilities Pneumonia, abscesses, suppurative arthritis, osteomyelitis, bacteremia, superficial skin infections - e.g cellulitis, impetigo Flow diagnosis Incubate whole blood with PMA & DHR-123 PMA stimulates neutrophils to undergo oxidative burst DHR-123 - oxygen sensitive dye that fluoresces at 535nm → colourless (unless oxygenated via oxidative burst) Gate on FS/SS for Neutrophil - high side scatter Peak = positive for oxidative burst Analyse Neutrophils for FL1 fluorescence first peak - cells below 101 - no oxidative burst second peak - positive burst over 102 red area - unclear data, potentially due to mis-compensation, laser going off, blockage in system
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Transfusion related lung injury (TRALI)
Transfusion related lung injury (TRALI) Severe type of non-hemolytic transfusion reaction Donor antibodies react with patient Plasma rich = higher chance of donor antibodies (foreign) Acute respiratory distress - will pass with ventilation as donor plasma is removed from system Cause - unclear, associated with antibodies to WBCs HLA I & HLA II antibodies Anti Granulocyte antibodies (HNA) - donor antibodies against neutrophils Principle - modification of LIFT Gate on lymphocytes & granulocytes - can test patient against donor plasma Incubate with anti-human IgG / FITC Spike for FITC = antibody can recognise neutrophils (TRALI occurs( Analyse lymphocytes & granulocyte populations for FITC fluorescence