A sentinel protein assay for simultaneously quantifying ...€¦ · A sentinel protein assay for...

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Martin Soste Picotti Lab, ETH Zurich Skyline user group meeting ASMS 2015 A sentinel protein assay for simultaneously quantifying cellular processes perturbations

Transcript of A sentinel protein assay for simultaneously quantifying ...€¦ · A sentinel protein assay for...

Page 1: A sentinel protein assay for simultaneously quantifying ...€¦ · A sentinel protein assay for simultaneously quantifying cellular processes perturbations . α-Synuclein induced

Martin Soste

Picotti Lab, ETH Zurich

Skyline user group meeting

ASMS 2015

A sentinel protein assay for simultaneously

quantifying cellular processes

perturbations

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α-Synuclein induced cytotoxicity

1 copy α-Syn 2 copies α-Syn

Established model for protein aggregation disease

collaboration with Lindquist lab

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100 protective genes

Rescue

α-Syn

Genetic modulator (1…100)

Cooper et al. Science. 2006 Gitler et al. Nat Genet. 2009 Willingham et al. Science. 2003 Yeger-Lotem et al. Nat Genet. 2009

α-Syn + gene n

gene n

What are the genetic modulators doing to rescue the yeast?

α-Syn

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How to find activated processes? effects of 100 genes, triplicates = 300 samples

unbiased

Omics

x not necessarily

activity

quantitative

Targeted proteomics

x biased

x not necessarily

activity

RT

Inte

nsity

RT

Inte

nsity

. . .

. . .

RT

Inte

nsity

RT

Inte

nsity

functional activity

Cell biology &

biochemistry

x time and labour

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Methodological aim

unbiased functional activity

unbiased screening for activity with targeted proteomics

quantitative

RT

Inte

nsity

RT

Inte

nsity

Retention time

Inte

nsity

Marker proteins

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The sentinel protein assay

A fingerprint for activity

Effectors of protective genes? gene

n α-Syn

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Sentinels: Markers that report cellular process activation

Sentinels are proteins, phosphorylation sites or degradation products

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Example: phosphorylation-based sentinels

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Example: MAPK activation

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(…..) (…..) (…..)

SENTINEL TYPE MODULE / PATHWAY DETAILS

ATG1 P-site AUTOPHAGY ACTIVATION Phosphorylated/dephosphorylated upon autophagy activation/deactivation

ATG13 P-site AUTOPHAGY ACTIVATION Phosphorylated/dephosphorylated upon autophagy activation/deactivation

IRE1 P-site UNFOLDED PROTEIN RESPONSE Autophosphorylated in UPR

HOG1 P-site MAPK SIGNALING Phosphorylation activates signaling

FUS3 P-site MAPK SIGNALING Phosphorylation activates signaling

SLT2 P-site MAPK SIGNALING Phosphorylation activates signaling

CKI1 P-site LIPID SYNTHESIS Phosphorylation by PKA regulates phosphatidylcholine synthesis

MAF1 P-site TOR SIGNALING Phosphorylated by PKA in a TORC1-dependent manner

SCH9 P-site TOR SIGNALING Phosphorylated by TORC1-complex

YPK1 P-site TOR SIGNALING Phosphorylated by TORC2-complex

IGO1 P-site RIM15 - KINASE ACTIVITY Phosphorylated by RIM15

MIG1 P-site GLUCOSE REPRESSION Phosphorylated by Hxk2 (glucose repression/deprepression)

SUI2 P-site TRANSLATION Phosphorylated when inhibition of translation initiation is required

DUN1 P-site DNA DAMAGE Phosphorylated in response to DNA damage.

SLX4 P-site DNA DAMAGE Phosphorylated by ATR and ATM upon DNA damage

TLG1 P-site TPK1 - KINASE ACTIVITY Phosphorylated TPK1 and dephosphorylated by SIT4

TLG1 P-site SIT4 - PHOSPHATASE ACTIVITY Phosphorylated TPK1 and dephosphorylated by SIT5

SIP1 P-site SNF1 - KINASE ACTIVITY Phosphorylated by SNF1.

CTK1 P-site CAK1 - KINASE ACTIVITY Phosphorylated by CAK1

ADR1 P-site PKA - KINASE ACTIVITY Phosphorylation by PKA

SEC63 P-site CK2 - KINASE ACTIVITY Phosphorylated by casein kinase II

CDC23 P-site CELL CYCLE Phosphorylated by CDC28 --> early mitotic activity

CDC24 P-site CDC28 - KINASE ACTIVITY Phosphorylation by CDC28 activates early mitotic activity

CDH1 P-site CELL CYCLE Phosphorylated by CDC28, in S, G2 and M phase

CDH1 P-site CDC28 - KINASE ACTIVITY Phosphorylated by CDC28, in S, G2 and M phase

Bcy1 P-site YAK1 - KINASE ACTIVITY Phosphorylated by YAK1 in response to glucose starvation.

YPK1 P-site PKH1 - KINASE ACTIVITY Phosphorylated by Pkh1

NPR1 P-site NITROGEN METABOLISM Dephosphorylated upon nitrogen limitation

RCK2 P-site HOG1 - KINASE ACTIVITY Phosphorylated by HOG1 after osmotic stress.

Identified functionally validated sentinels

188

processes

Fingerprint

assay:

- 157

proteins

- 152 P-sites

SRM assays

Proteotypic peptides

PROT – 300, PHOS – 152

Top 3–6 transitions

PROT – 1174, PHOS – 807

iRT-based scheduling

Synthetic heavy peptide confirmation

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Control

“Sentinel Fingerprints”

Multi-peptide chromatograms

Testing the sentinel protein assay

Osmo-stress

Osmo-stress adapted

Rapamycin

AA/N starvation

Stationary phase

Heat shock 30 min

Heat shock 60 min

Heat shock recovery

Heat shock

Heat-shock recov.

Osmo-stress

Quiescence

Rapamycin

Osmo-stress adapt.

AA/N starvation

Well-characterized

perturbations

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Validation from expected responses

SP SP SP

HS30 HS60 HSR

OS OSA

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Simultaneous and large-scale coverage

Snapshots of yeast

physiology

Report of 202

markers for activity

Success rate = 74%

= detected, not regulated

= not detected Soste et al. Nat Methods. 2014

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Novel responses in stationary phase

Subset of heat-shock proteins up

Typical markers of heat-shock down

Coordinated response of HSPs

Water deficiency marker up

Concentration of cytosol

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Summary: sentinel assay

Advantages:

Captures behaviour of many pathways

Probes activation, not merely abundance

Targeted yet unbiased (“discovery SRM”)

Fast and interpretable readout of cell status

Limits:

Cannot identify a perturbed pathway if a marker is not included

Influence of pathway crosstalk

Apply to any perturbation of yeast

(e.g. large set of genetic manipulations or drugs)

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Outlook: fingerprints of rescue from α-Syn

0

20

40

60

80

100

120

0 10 20 30

Bio

ma

ss

(sc

att

ere

d lig

ht)

Time (hr.)

Vector aSyn

aSyn+UBP7 aSyn+PPZ2

aSyn+YPT1 aSyn+YKT6

aSyn+YPK9 aSyn+NTH1

aSyn+IME2 aSyn+NVJ1

Protective genes (~100)

Sentinels

Multivariate regression

Identify key processes in rescue

Modulate key processes in higher organism models of α-Syn toxicity

gene

n α-Syn

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Data analysis

Andreas Beyer, Sybacol

α-Syn model

Susan Lindquist, WIBR

Gabriela Caraveo, WIBR

Sentinel Prediction

Stefanie Wanka, UZH

Christian Von Mering, UZH

Supervisor

Paola Picotti

Picotti Lab

Andre Melnik

Yuehan Feng

Juan Gerez

Rita Hrabakova

Paul Boersema

Pascal Leuenberger

Ilaria Piazza

Simone Schopper

Natalia Prymaczok

Marco Tognetti

Acknowledgements

Thank you to Brendan, the development

team and the user community!

[email protected]

Picture on title slide

from Cooper et al. 2006