Gene expression analysis of “complex” tissues

Post on 23-Jan-2016

37 views 0 download

Tags:

description

Gene expression analysis of “complex” tissues. What is gene expression? What is a “complex” tissue? How can gene expression analysis be done? How should the findings be validated? Can this be used for diagnosis or prediction? Some conditions suited for diagnosis or prediction. - PowerPoint PPT Presentation

Transcript of Gene expression analysis of “complex” tissues

Gene expression analysis of“complex” tissues

• What is gene expression? • What is a “complex” tissue?• How can gene expression analysis be done?• How should the findings be validated?• Can this be used for diagnosis or prediction?• Some conditions suited for diagnosis or prediction.

What is gene expression?

Genome

Transcription

mRNA

Translation

Protein

Secretion

What is a “complex” tissue? Anatomical complexity (1)

Normal gastric corpus Adenocarcinoma

What is a “complex” tissue? Patho-anatomical complexity (2)

mageECL-cellEC-cellD-cellD1-cellA-like cellX-cell

What is a “complex” tissue? Physiological complexity (1)

What is a “complex” tissue? Physiological complexity (2)

Digital camera/computer

Lid

Cell smear on an object glass with a polyethylene naphthalate membrane

Motorised stage

Objective

Laser

Laser-assisted microdissection

Small (ECL?)cell

Large (parietal?)cell

Laser-assisted microdissectionVideo view

ECL cell Parietal cell Corpus Template-

CCK2-r

HDC H+K+

CCK2-r

Laser-assisted microdissectionSingle-cell nested PCR

Gene expression analysis -a systematic approach?

High throughputsingle gene testing

Genome- or system-wide screening

Biomedicalproblem

Statistical andcomputational analysis

Applicationand ethics

• A physiological experiment• A pharmacological intervention• A subspecies characteristic • A dysfunction or a disease

Biomedicalproblem

Genome- or system-wide screening

• Microarray with genome or dedicated sets• Differential display• Various proteomics techniques

Statistical andcomputational analysis

• Many genes-few replicates represent unique problems• Case-to-case assessment necessary at all levels of analysis• No method(s) seem routinely usable

• I.e. - close collaboration with highly skilled and scientifically competent statisticians and computing scientists is mandatory. • All experiments are opportunities to work with statistics and computational methods on a scientific level.

High throughputsingle gene testing

• High throughput si-RNA testing• Tissue microarray methods

Final verification by carefullydesigned experiments, transgenicsor other more laborious methods

Applicationand ethics

Medical• Classification of disease• Early diagnosis• Treatment stratification

Some applications:Biological• Generation of hypotheses• Integrated regulatory mechanisms

Some ethical concerns:• Surplus information• Is presymptomatic diagnosis desirable• Familial susceptibility

Diagnosis and predictionGeneral

• Differentiation between malignant and non-malignant growth• Differentiation between localised and disseminated malignant tumour (surgical decision-making)• Differentiation between similar but non-malignant conditions• Differentiation between medically responsive and non-responsive conditions (medical decision-making)

Diagnosis and treatment ofgastrointestinal premalignancies

Polypectomy FAP

Diagnosis and predictionExamples from gastroenterology (1)

Diagnosis and therapy response inUlcerative colitis Crohn’s disease

Diagnosis and predictionExamples from gastroenterology (2) Development of malignancy in ulcerative colitis

DALM Adenocarcinoma

Diagnosis and predictionExamples from gastroenterology (3)

Gastric stump cancer

Diagnosis and predictionExamples from gastroenterology (4)

Predicting: • Penetration• Haematogenic metastasis• Lymphatic metastasis• Intracavitary metastasis