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System Biology October 2013 Gustavo de Souza IMM, OUS

System Biology

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System Biology. Gustavo de Souza IMM, OUS. October 2013. Scrutinizing global changes. Reductionism VS Holism. The study of biology through systematic perturbation, global read-out of the multifaceted and integration of these data to formulate predictive models. - PowerPoint PPT Presentation

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Page 1: System Biology

System Biology

October 2013

Gustavo de SouzaIMM, OUS

Page 2: System Biology

Scrutinizing global changes

Page 3: System Biology

Reductionism VS Holism

The study of biology through systematic perturbation, global read-out of the multifaceted and integration of thesedata to formulate predictive models

Ideker et al., Annu. Rev. Genomics Hum. Genet. 2:343-72, 2001.

Page 4: System Biology

Integrating “omic” approaches

Ge H et al., 2003.

Page 5: System Biology

Integrating expression data

Ge H et al., 2003.

Page 6: System Biology

Comparing data

Ge H et al., 2003.

Page 7: System Biology

Strategy

Ge H et al., 2003.

Page 8: System Biology

System Biology in Immunology

Amit I et al., 2011

Page 9: System Biology

System Biology in Immunology

Amit I et al., 2011

Page 10: System Biology

Amit I et al., 2011

System Biology in Immunology

Page 11: System Biology

Obvious Challenges

- Signal VS Noise

- Biologically relevant VS random effect

- Integration of technology – biology - computation

- Integration of discovery- and hypothesis-driven science

Page 12: System Biology

Proteomics capacity as a System Biology tool

Page 13: System Biology

Proteomics capacity as a System Biology tool

Page 14: System Biology

Proteomics capacity as a System Biology tool

Proteomics can reach 86%of Ids predicted by transcriptomics

At the cost of 12 days of analysis

Page 15: System Biology

Characterization of 11 cell lines

Geiger T et al., 2012

Page 16: System Biology

Characterization of 11 cell lines

Page 17: System Biology

Characterization of 11 cell lines

Page 18: System Biology

Proteomics flex its muscle

Mann et al., 2013

Page 19: System Biology

Take home message

1. System biology is a post-genomic field that focus in global changes within a system.

2. Depends heavily on computational approaches (measurement, statistical validation, integration of thousands of components)

3. Proteomics is still “under development” compared to Genomics/transcriptomics, but has almost comparable throughput in recent years

Page 20: System Biology

Advanced Proteomics

October 2013

Gustavo de SouzaIMM, OUS

Page 21: System Biology

Are mRNA levels comparable to their protein levels?

Page 22: System Biology

Relevance of the Proteome

If a gene is transcripted andits mRNA levels goes up, doesthat necessarily means theprotein level that the mRNAtranslates also goes up?

Page 23: System Biology

Pulse Labeling

Page 24: System Biology
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Translational machinery saturates

Page 26: System Biology

Steen and Mann, 2004

Can one predict protein levels based on mRNA levels?

Page 27: System Biology
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Super-SILAC

Geiger T et al., 2010

Page 31: System Biology

Spike-In SILAC

Geiger T et al., 2013

Page 32: System Biology

Good reproducibility

Page 33: System Biology

Top 100 Proteome

Page 34: System Biology
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Brown VS White fat tissue

Page 37: System Biology

mRNA VS Protein level

Page 38: System Biology

Take home message

- As a descriptive data, proteomics is almost as throughput as transcriptomics (the catch 22 is: it does require very high level of expertise to perform proteomics at higher standards).

- Proteomics is arguably more appropriate than transcriptomicsto elucidate functional studies.