In situ visualization of damaged DNA in human sperm by Raman microspectroscopy.

Mallidis C, Wistuba J, Bleisteiner B, Damm OS, Gross P, Wübbeling F, Fallnich C, Burger M, Schlatt S

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

Beyond determining the percentage of damaged sperm, current methods of DNA assessment are of limited clinical utility as they render the sample unusable. We evaluated Raman microspectroscopy, a laser-based non-invasive technique that provides detailed chemical 'fingerprints' of cells and which potentially could be used for nuclear DNA-based sperm selection.Eight healthy donors provided ejaculates. After system optimization, a minimum of 200 air-dried sperm/sample/donor, prior to/and after UVB irradiation, were assessed by two observers. Spectra were analysed by Principal Component, Spectral Angle and Wavelet Analyses.Spectra provided a chemical map delineating each sperm head region. Principal Component Analysis showed clear separation between spectra from UV-irradiated and untreated samples whilst averaged data identified two regions of interest (1040 and 1400 cm(-1)). Local spectral analysis around the DNA PO(4) backbone peak (1042 cm(-1)), showed that changes in this region were indicative of DNA damage. Wavelet decomposition confirmed both the 1042 cm(-1) shift and a second UVB susceptible region (1400-1600 cm(-1)) corresponding to protein-DNA interactions. No difference was found between observer measurements.Raman microspectroscopy can provide accurate and reproducible assessment of sperm DNA structure and the sites and location of damage.

Details zur Publikation

FachzeitschriftHuman Reproduction (Hum Reprod)
Jahrgang / Bandnr. / Volume26
Ausgabe / Heftnr. / Issue7
Seitenbereich1641-1649
StatusVeröffentlicht
Veröffentlichungsjahr2011
Sprache, in der die Publikation verfasst istEnglisch
StichwörterSpectrum Analysis Raman; Male; DNA. Humans; Spermatozoa; DNA Damage; Principal Component Analysis; Spectrum Analysis Raman; Male; DNA. Humans; Spermatozoa; DNA Damage; Principal Component Analysis

Autor*innen der Universität Münster

Burger, Martin
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Burger)
Damm, Oliver
Centrum für Reproduktionsmedizin und Andrologie
Mallidis, Con
Centrum für Reproduktionsmedizin und Andrologie
Schlatt, Stefan
Centrum für Reproduktionsmedizin und Andrologie
Wistuba, Joachim
Centrum für Reproduktionsmedizin und Andrologie