Publication help


When to acknowledge

Whenever we analyzed the samples for you or helped you with your experiment design or contributed in some other way to the success of your experiments,  you should acknowledge our support of your research in your publications, presentations, and reports. Your acknowledgements are used by the University in deciding whether or not to continue funding the Facility. The University funding keeps our service fees low.

How to acknowledge

Mass spectrometric analysis was (analyses were) performed at the Penn State Proteomics and Mass Spectrometry Core Facility, University Park, PA.

The authors thank Dr. Tatiana Laremore and/or James Miller for the help with manuscript preparation (sample preparation, data interpretation, analytical method development), and/or providing access to (equipment), and/or helpful discussions (technical advice).

Writing a paper

If your research does not generate papers, it might just as well not have been done. ‘Interesting and unpublished’ is equivalent to ‘non-existent’.

George M. Whitesides

An excellent and concise guide to writing a paper by the Harvard University professor George Whitesides can be found at this DOI: 10.1002/adma.200400767

A few additional tips for our Facility users

Even if proteomics is but a small part of your project, begin by downloading instructions for authors from a major proteomics journal. These instructions are written by experts and essentially outline the experiment for you. Before you start growing cells or planting trees, read the manuscript submission checklist to find out how to account for biological and technical variability and how many and what type of replicates will conform to the statistical validation methods.

If you are going to use published work as a model for your experimental design, select only the highest-quality publications from high-impact-factor journals.

Find out whether you can access the proteome (genome) of the organism you intend to study. MS-based protein identification relies on the availability of the protein sequence databases.

Make a list of all data file formats that must be submitted with the manuscript so that these files could be generated by the Facility as part of your data processing workflow.

Each LC-MS-MS data file takes approximately 1 GB of disk space, therefore plan on copying and backing up your data shortly after it is generated. We clear out old data every 6-8 months or whenever the disk is full.

Write a paragraph describing the LC-MS/MS or MS method used in acquisition of your data. I usually have routine methods ready for you to copy. Even if you are not planning on including all experiments in a publication or thesis, this information could be useful for your group or to you on your next endeavor.

Unless you are incredibly lucky or exceptionally clever, things will go wrong and the plan will change, perhaps even more than once. Keep a careful record of all protocol changes, including MS methods, illustrated with data.

Generate figures for group meetings using the same format and quality as required by the journal and/or for your thesis. Record file names of the relevant mass spectra if you think they might be needed.

Have a great tip to share? Go on, send me an email or leave a comment!

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