Renã A. S. Robinson, Ph.D.
Professor of Chemistry
Vanderbilt University
Writing Workshop
(Overview, Experimental, Results)
2
General Writing Advice
Getting a submission ready manuscript takes longer than you think
…
plan accordingly
3
General Writing Advice
4
RASR Team Writing Process
Literature review & Endnote begins
Study Design & Goals
Title & Authors & Journal
Collect Data
Review & analyze data
Draft Figures & Tables
Review & Edit
Draft Exptl’
Draft Results
Draft Intro
Draft Disc’
Draft Abstract
Submit first full draft to RASR
Review & edit
Share with Co-authors
Review & edit
Prepare submission
Submit
Wait
Respond to Reviewer's
Wait
Acceptance
Galley proofs
Publication
Citation
Update CV
5
Start with prior template from group
6
Drafting the Experimental Section
Protein Depletion
SCCS sample batches (N=58) were depleted using one of two Waters e2695 HPLC system with a multiple affinity removal human 14 (MARS-14, Agilent) depletion column and buffer system. Each batch was divided into two sequences consisting of seven and nine duplicate injections for daytime and overnight runs, respectively. Three QC1 samples were diluted with 120 µL Buffer A and depleted at the start of a new MARS-14 column and one depleted with every sequence. Unbound peak retention times of QC1 were used to track instrument performance and determined the need of instrument maintenance between batches. Unbound fractions were collected, concentrated using 10 kDa centrifugal filters (Amicon) and quantified by bicinchoninic acid (BCA) protein assays. Addition of BCA reagents were performed on the Biomek. Depleted samples were stored at –80 °C until ready for further analysis.
From Nekesa Oliver, manuscript in progress
7
Drafting the Experimental Section
Protein Depletion
SCCS sample batches (N=58) were depleted using one of two Waters e2695 HPLC system with a multiple affinity removal human 14 (MARS-14, Agilent) depletion column and buffer system. Each batch was divided into two sequences consisting of seven and nine duplicate injections for daytime and overnight runs, respectively. Three QC1 samples (??) were diluted with 120 µL Buffer A and depleted at the start of a new MARS-14 column and one depleted with every sequence. Unbound peak retention times of QC1 were used to track instrument performance and determined the need of instrument maintenance between batches. Unbound fractions were collected ???, concentrated using 10 kDa centrifugal filters (Amicon) and quantified by bicinchoninic acid (BCA) protein assays. Addition of BCA reagents were performed on the Biomek. Depleted samples were stored at –80 °C until ready for further analysis.
8
Writing up a Result for a Figure
Establishing Quality Control Procedures for Large-Scale Plasma Proteomics Analyses
9
Writing up a Result for a Figure
2.0
1.5
1.0
0.5
0
-0.5
-1.0
-1.5
Peptide count
A.
-15
-10
-5
0
5
QC 212
QC 31
QC 139
QC 213
QC 259
QC 262
QC 258
QC 260
QC 260
QC 160/161
QC 159
B.
-15
-10
-5
0
5
QC 212
QC 31
QC 213
QC 262
QC 29
QC 41
5.5
4.0
2.5
1.0
-0.5
-2.0
-3.5
-5.0
5
3
1
-1
-3
-5
-7
-9
PSMs
C.
-3
-1.5
0
1.5
3
QC 212
QC 31
QC 213
QC 262
QC 223
QC 224
QC 225
5.5
3.5
1.5
-0.5
-2.5
-4.5
-6.5
-8.5
D.
% m/z
-8
-4
0
4
8
QC 212
QC 31
QC 213
QC 262
QC 142
QC 144
QC 143
QC 226
QC 227
QC 222
4
3
2
1
0
-1
-2
-3
MS/MS spectra
E.
-5
0
5
10
15
QC 212
QC 31
QC 213
QC 262
QC 144
QC 212
QC 31
QC 213
QC 262
QC 261
QC 259
QC 257
QC 142
QC 265
QC 266
QC 264
QC 260
QC 267
QC 270
QC 268
QC 269
QC 258
3
1.5
0
-1.5
-3.0
-4.5
-6.0
-7.5
F.
% ITMAX
-3
-1
1
3
5
QC 143
Protein count
Protein count
10
Writing up a Result for a Figure
2.0
1.5
1.0
0.5
0
-0.5
-1.0
-1.5
Peptide count
A.
-15
-10
-5
0
5
QC 212
QC 31
QC 139
QC 213
QC 259
QC 262
QC 258
QC 260
QC 260
QC 160/161
QC 159
B.
-15
-10
-5
0
5
QC 212
QC 31
QC 213
QC 262
QC 29
QC 41
5.5
4.0
2.5
1.0
-0.5
-2.0
-3.5
-5.0
5
3
1
-1
-3
-5
-7
-9
PSMs
C.
-3
-1.5
0
1.5
3
QC 212
QC 31
QC 213
QC 262
QC 223
QC 224
QC 225
5.5
3.5
1.5
-0.5
-2.5
-4.5
-6.5
-8.5
D.
% m/z
-8
-4
0
4
8
QC 212
QC 31
QC 213
QC 262
QC 142
QC 144
QC 143
QC 226
QC 227
QC 222
4
3
2
1
0
-1
-2
-3
MS/MS spectra
E.
-5
0
5
10
15
QC 212
QC 31
QC 213
QC 262
QC 144
QC 212
QC 31
QC 213
QC 262
QC 261
QC 259
QC 257
QC 142
QC 265
QC 266
QC 264
QC 260
QC 267
QC 270
QC 268
QC 269
QC 258
3
1.5
0
-1.5
-3.0
-4.5
-6.0
-7.5
F.
% ITMAX
-3
-1
1
3
5
QC 143
Protein count
Protein count
Principle component analysis (PCA) was used to assess how consistent and reproducible quality control samples were on the basis of six key instrumental metrics: XXXXXXXXXX.
Generally, QC samples (N = XXX) clustered into a single large group based on peptide abundance, % m/z, MS/MS spectra and %IT max. For metrics such as peptide count and PSMs, QCs clustered into two distinguishable groups ( Figure 4A and C). For each metric, there were also outliers which fell outside of 95% of the QC samples within the entire group. For example, on the basis of peptide count, 10 QC samples were outliers (Figure 4A, labeled in orange) and these same outliers were also present for other metrics such as XXXXXXXXXX. Fewer outlilers were observed for traditional QC metrics such as peptide abundance, PSMs and MS/MS spectra, however more informative metrics such as %m/z and IT max had greater QC outliers.
….
11
General Writing Advice
Once we have words on the paper, we have something to work with & you can get feedback to help you move forward.