2.4.2 Enzyme-Linked Immunosorbent Assay

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Last updated 7:18 PM on 4/16/26
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44 Terms

1
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What is a monoclonal antibody?

  • An antibody produced from genetically identical or cloned B plasma cells, so all have the same tertiary structure.

2
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Outline the uses of monoclonal antibodies

  • Medical diagnosis

  • Therapeutic drug delivery

  • Block antigens or receptors

  • Detection

3
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What property of monoclonal antibodies allows them to target specific cells?

  • They have a specific tertiary structure, so the variable region is complementary to a receptor, protein, or antigen found only on a specific cell type, for example a cancer cell.

4
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How are monoclonal antibodies used to deliver drugs to specific cells?

  • A therapeutic drug is attached to the antibody.

  • The antibody binds to the cellโ€™s target receptor, protein, or antigen, forming an antigen-antibody complex and delivering the drug.

5
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What is another way monoclonal antibodies are used in treatment?

  • Some monoclonal antibodies are designed to block antigens or receptors on cells.

6
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What property allows monoclonal antibodies to be used in medical diagnosis?

  • They have a specific tertiary structure, so the variable region is complementary to a receptor, protein, or antigen found only on a specific cell type associated with the diagnosis.

7
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How are monoclonal antibodies used to detect specific molecules?

  • A dye, stain, or fluorescent marker is attached to the antibody.

  • The antibody binds to the cellโ€™s target receptor, protein, or antigen, forming an antigen-antibody complex that can be visualised.

8
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Briefly outline the difference between direct, indirect and sandwich ELISA.

  • Direct ELISA: antigen from sample attached to well; enzyme-linked antibody binds directly to antigen.

  • Indirect ELISA: antigen attached to well; sample antibody binds to antigen; enzyme-linked secondary antibody binds to sample antibody.

  • Sandwich ELISA: antibody attached to well; antigen from sample binds; enzyme-linked secondary antibody binds to antigen.

9
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<p><strong>What is the first step in direct ELISA?</strong></p>

What is the first step in direct ELISA?

  • Attach the sample with potential antigens to the well.

10
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<p><strong>What is the second step in direct ELISA?</strong></p>

What is the second step in direct ELISA?

  • Add complementary monoclonal antibodies with enzymes attached, which bind to the antigens if present.

11
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<p><strong>What is the third step in direct ELISA?</strong></p>

What is the third step in direct ELISA?

  • Wash the well to remove unbound antibodies, preventing false positives.

12
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<p><strong>What is the fourth step in direct ELISA?</strong></p>

What is the fourth step in direct ELISA?

  • Add substrate, which the enzymes act on to create products that cause a colour change, indicating a positive result.

13
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<p><strong>What is the first step in sandwich ELISA?</strong></p>

What is the first step in sandwich ELISA?

  • Attach specific monoclonal antibodies to the well.

14
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<p><strong>What is the second step in sandwich ELISA?</strong></p>

What is the second step in sandwich ELISA?

  • Add the sample with potential antigens, then wash the well.

15
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<p><strong>What is the third step in sandwich ELISA?</strong></p>

What is the third step in sandwich ELISA?

  • Add complementary monoclonal antibodies with enzymes attached, which bind to the antigens if present.

16
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<p><strong>What is the fourth step in sandwich ELISA?</strong></p>

What is the fourth step in sandwich ELISA?

  • Wash the well to remove unbound antibodies, preventing false positives.

17
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<p><strong>What is the fifth step in sandwich ELISA?</strong></p>

What is the fifth step in sandwich ELISA?

  • Add substrate, which the enzymes act on to create products that cause a colour change, indicating a positive result.

18
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<p><strong>What is the first step in indirect ELISA?</strong></p>

What is the first step in indirect ELISA?

  • Attach specific antigens to the well.

19
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<p><strong>What is the second step in indirect ELISA?</strong></p>

What is the second step in indirect ELISA?

  • Add the sample with potential antibodies, then wash the well.

20
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<p><strong>What is the third step in indirect ELISA?</strong></p>

What is the third step in indirect ELISA?

  • Add complementary monoclonal antibodies with enzymes attached, which bind to the antibodies if present.

21
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<p><strong>What is the fourth step in indirect ELISA?</strong></p>

What is the fourth step in indirect ELISA?

  • Wash the well to remove unbound antibodies, preventing false positives.

22
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<p><strong>What is the fifth step in indirect ELISA?</strong></p>

What is the fifth step in indirect ELISA?

  • Add substrate, which the enzymes act on to create products that cause a colour change, indicating a positive result.

23
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What is one purpose of a control well in the ELISA test?

  • To compare to the test and show that only the enzyme causes the colour change.

24
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What is another purpose of a control well in the ELISA test?

  • To compare to the test and show that all unbound antibodies have been washed away.

25
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Why can failure to thoroughly wash the well result in a false positive?

  • Antibodies with enzymes attached remain and are not washed out, so the substrate is converted into a coloured product.

26
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What is one ethical issue associated with pre-clinical testing of vaccines and monoclonal antibodies?

  • Pre-clinical testing on animals causes potential stress, harm, or mistreatment.

  • However, animals are not killed and it helps produce new drugs to reduce human suffering.

27
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What is an ethical issue associated with clinical trials on humans?

  • Potential harm or side-effects.

28
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What is a potential ethical issue with vaccines?

  • People may continue high-risk activities and still develop or pass on the pathogen.

29
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What is an ethical issue associated with using drugs?

  • Potentially dangerous side effects.

30
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What question should be asked about sample size when evaluating methodology?

  • Was the sample size large enough to be representative of the population?

31
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What question should be asked about participant diversity?

  • Were participants diverse in terms of age, sex, ethnicity, and health status?

32
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What question should be asked about control groups?

  • Were placebo or control groups used for comparison?

33
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What question should be asked about study duration?

  • Was the duration of the study long enough to show long-term effects?

34
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What question should be asked about reducing bias?

  • Was the trial double-blind, meaning neither the doctor nor the patient knew who was given the drug or placebo, to reduce bias?

35
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What question should be asked about side effects?

  • What side effects were observed, and how frequently did they occur?

36
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What question should be asked about control variables?

  • Were factors such as health and previous medications controlled to ensure validity?

37
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What question should be asked about statistical analysis?

  • Was a statistical test used to see if there was a significant difference between the start and final results?

38
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What can a large standard deviation in final results indicate?

  • Large standard deviation shows that some patients did not benefit from the treatment.

39
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What does overlap between standard deviations of start and final results suggest?

  • Overlap suggests there may not be a significant difference in start and final results.

40
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What questions should be asked about dosage?

  • What dosage was optimum?

  • Does increasing the dose increase effectiveness enough to justify the extra cost?

41
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What question should be asked about production and distribution?

  • Was the cost of production and distribution low enough?

42
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If two variables change together in a way that can be seen on a scatter diagram, what is this called?

  • Correlation = a change in one variable is reflected by a change in another variable, which can be identified on a scatter diagram.

43
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What term describes when a change in one variable directly causes a change in another variable?

  • Causation = a change in one variable causes a change in another variable.

44
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Why is it incorrect to assume that because two variables are correlated, one must cause the other?

  • Correlation does not mean causation โ†’ there may be other factors involved.