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5

Thermo Scienti c Poster Note

PN HUPO13_POS-02-041_APrakash

_E 09/13S

p to identify

ehensive MS/MS

roteome

fidence

various search

re explored. We

is of protein

c digestion and

f PTMs in each

plasma and urine

Orbitrap™ hybrid

rkflow was found to

IDs and identify

s in a single run.

rching workflow in

ination of multiple

hion to maximize

the most

and partially

were judiciously

rotKB) of each

described in, from

de data1. The

samples analyzed

comprehensive

two different

ples). Human urine

l consent and

duction and

rometry

a 5-45%

g a C18 nano-LC

d a plasma sample

90 minutes,

h a Thermo

op 11 and Top 10

CID fragmentation.

and 4) were run

with the Thermo

ectrometer, with

fragmentation.

ome Discoverer 1.4

database using the

and compared with

fications (oxidation

alkylation as static

ion (Standard

Results

We compared the results from our comprehensive searching

strategy with a standard search strategy. We found that on

average, the number of high-confidence peptide identifications

(FDR≤0.01) increased approximately 2

-fold with our

comprehensive workflow compared to standard searches,

whereas the increment in the number of medium confidence

peptide identifications (FDR≤0.05) was more than two times

compared to standard search (Figure 2).

The comprehensive workflow was found to increase the

number of high-

confidence protein identifications (FDR≤0.01)

by 90% and the high-confidence protein groups by 75% with

respect to the standard search condition. Moreover, the

comprehensive workflow increases the high-confidence group

proteins (with at least two high-confidence peptides for every

protein in the group) by 23% (Figure 3).

The comprehensive workflow identified several high-confidence

peptides with multiple PTMs which reveals the importance of

particular combinations of PTMs in a search node (Table 2).

FIGURE 2. Comprehensive workflow increases number of

peptide identifications (sample 1 = urine, sample 2-4 =

plasma)

FIGURE 3. The comprehensive workflow increases the

number of identified protein groups with at least two

peptide hits per protein.

Conclusio

A comprehensi

as many high-c

standard searc

The comprehe

of high-confide

confidence pro

90% and 75%,

search approa

The comprehe

confidence pep

The percentag

when using the

Proteome Disc

Reference

1. Khoury GA, Ba

translational m

curation of the

13;1.

2. Schandorff S,

File

Total

Spectra

S

(F

Sample1

27215

Sample2

14005

Sample3

43036

Sample4

44450

Example

Protein

1

A1AT

2

ALBU

3

A2MG

4

AACT

5

APOB

6

CERU

7

HEMO

8

TRFE

9

TTHY

10

VTDB

Table 4. Compreh

coverage

Moreover, the com

sequence coverag

information about