NNMK19001U Cancelled Proteins from the Past: Palaeoproteomic Methods
This intensive one-week summer course will provide students with
a detailed introduction to the methods used for mass
spectrometry-based ancient protein sequencing, i.e.
palaeoproteomics. At the beginning of the course a series of
lectures will present: (i) the history of this research field, (ii)
the most advanced technologies it relies on, and (iii) the most
impressive scientific achievements it accomplished. Special care
will be put in describing the most advanced applications of
palaeoproteomics to palaeontology, palaeoprimatology and
palaeoanthropology. The lectures will also mention the
interdisciplinary application of ancient protein sequencing to
cultural heritage studies and conservation.
In the second part of the course, the students will actively
take part to all the laboratory activities defining the most
advanced workflow currently used in a standard palaeoproteomic
study. Hands-on sessions will start with preparation of authentic
ancient samples for proteomics analysis, continuing with
high-resolution tandem MS data production, and concluding with the
analysis and the interpretation of the data the students generated
themselves.
Knowledge:
By the end of the course, you will:
- Clearly identify the molecular peculiarities distinguishing ancient proteins to better decide which extraction strategies you should implement, and what you should avoid, to maximise protein recovery during sample preparation
- Recognise and exclude possible contaminants in your samples
- Identify the proteins retrieved from ancient samples and to evaluate the chemical damage affecting them,
Skills:
- By the end of the course, you will be able to:
- Extract protein residues from an ancient biological or CH specimen preventing contamination and dealing with very small quantities of precious and unique starting material,
- Confidently and autonomously use the most common software, i.e. MaxQuant and PEAKS, for basic, and in some cases advanced, peptide-spectrum matching,
- Characterise and quantify the molecular damage affecting ancient proteins in an ancient specimen,
- Discover amino acid substitutions exclusively present in extinct organisms;
Competencies:
- By the end of the course, you will be able to:
- Judge, and eventually criticise, the content of scientific literature describing palaeoproteomics-based research
- Select the most sound approach to process high-throughput tandem MS-based palaeoproteomics data sets
- Analyse ancient proteome sequences in preparation of their phylogenetic interpretation,
- Evaluate the robustness and reliability of palaeoproteomics result, either yours or previously published.
Literature will be provided prior to the start of the course alongside the course compendium.
- Category
- Hours
- Course Preparation
- 29,5
- Exam
- 18
- Exam Preparation
- 36
- Laboratory
- 34
- Lectures
- 20
- Total
- 137,5
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- Credit
- 5 ECTS
- Type of assessment
- Written assignmentOn the last day of the course, students will be given the title of a set essay, of 5-6 pages in length, to be written in English and to be submitted within 7 days as a take home assignment.
- Exam registration requirements
Admission to the exam is subject to actively attending the entire one week-long hands-on laboratory activities and the lectures.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners.
- Re-exam
If the requirements is not fulfilled the student must hand in a 5-page essay on a relevant topic given by the course responsible before the student can do the re-exam
Criteria for exam assesment
See learning outcome.
Course information
- Language
- English
- Course code
- NNMK19001U
- Credit
- 5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Summer
- Schedule
- 17 - 21 August 2020
- Course capacity
- 16
- Continuing and further education
- Study board
- Study Board for the Biological Area
Contracting department
- Department of Biology
Contracting faculty
- Faculty of Science
Course Coordinators
- Enrico Cappellini (ecappellini@sund.ku.dk)
Lecturers
Patrick Rüther
Diana Samodova