Final Flashcards
Immunocytochemistry & Immunohistochemistry
Immunocytochemistry (ICC)
performed on samples of intact cells that have had most surrounding extracellular matrix removed cultured cellso allows researchers to determine sub-cellular compartments expressing antigen
Immunohistochemistry (IHC)
performed on sections of biological tissues, where each cell is surrounded by tissue and other cells in the intact tissue
e.g. tissue sectionso allows researchers to determine which regions of tissue or organism express antigen
Flow Cytometry
laser based, biophysical
technology employed in cell counting
SDS‐PAGE
method for
separating proteins of different sizes
specific antigens are targeted using labelled antibodies
Provides bands in gel
Definition of Epidemiology
study of occurrence and distribution of disease in specified populations
Centi / mili / micro / nano meter
centi 10^-2
Mili 10^-3
Micro 10^-6
Nano 10^-9
Describe x:y dilution
x/y concentration
n calculations
n = m/M n = grams / Molecular mass
n = cv
Vancouver refference
Surname Initials, title, Year/month/day, issue, page numbers (volume) : page range
Surname Initials, title, edition, city, Year.
Disease outbreak investigations:
epidemics (cross international borders)
endemics (local populations)
Pandemic: disease affects a large population
Endemic: constant presence of disease
Cluster: aggregation of uncommon diseases in space/time
Experimental Study Designs
randomised control trial: use patients as subjects, investigate effect of a treatment or intervention on specific disease
Field trials: participants are healthy people, purpose is to prevent low frequency disease
community trials : participants are communities
These are gold standard
Observational vs. RCT
observational: inability to randomise, lower form of evidence than RCT as groups may not be the same as the start and other factors may be responsible for the result
Types of Errors
Type I: false positive
reject null hypothesis when groups are really equal
Type II: false negative
fail to reject null hypothesis when groups are different
T-Test
compares means between two unrelated groups on same continuous, dependent variable.
compare test statistic to critical value
is t < critical value 95 %?
no: reject null hypothesis, yes: do not reject null
Chi-Squared Test:
used to determine whether distribution of cases in a single categorical variable follows a known or hypothesised distribution
is t < critical value 95 %?
no: reject null hypothesis, yes: do not reject null
P-Values
likely that difference is due to ‘noise’ -> unexplained variation
P value of less than 0.05 is statistically significant and null hypothesis is rejected
if P<0.05, there is less than a 1 in 20 chance (5%) that the difference is due to noise