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Institution

German Criminal Police Office

GovernmentWiesbaden, Germany
About: German Criminal Police Office is a government organization based out in Wiesbaden, Germany. It is known for research contribution in the topics: Population & Mass spectrometry. The organization has 254 authors who have published 338 publications receiving 8489 citations.


Papers
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Journal ArticleDOI
TL;DR: The results of this collaborative exercise involving an RNA/DNA co-extraction strategy support the potential use of an mRNA based system for the identification of saliva and semen in forensic casework that is compatible with current DNA analysis methodologies.
Abstract: A third collaborative exercise on RNA/DNA co-analysis for body fluid identification and STR profiling was organized by the European DNA Profiling Group (EDNAP). Twenty saliva and semen stains, four dilution series (10-0.01 μl saliva, 5-0.01 μl semen) and, optionally, bona fide or mock casework samples of human or non-human origin were analyzed by 20 participating laboratories using an RNA extraction or RNA/DNA co-extraction method. Two novel mRNA multiplexes were used: a saliva triplex (HTN3, STATH and MUC7) and a semen pentaplex (PRM1, PRM2, PSA, SEMG1 and TGM4). The laboratories used different chemistries and instrumentation and a majority (16/20) were able to successfully isolate and detect mRNA in dried stains. The simultaneous extraction of RNA and DNA from individual stains not only permitted a confirmation of the presence of saliva/semen (i.e. tissue/fluid source of origin), but allowed an STR profile of the stain donor to be obtained as well. The method proved to be reproducible and sensitive, with as little as 0.05 μl saliva or semen, using different analysis strategies. Additionally, we demonstrated the ability to positively identify the presence of saliva and semen, as well as obtain high quality DNA profiles, from old and compromised casework samples. The results of this collaborative exercise involving an RNA/DNA co-extraction strategy support the potential use of an mRNA based system for the identification of saliva and semen in forensic casework that is compatible with current DNA analysis methodologies.

97 citations

Journal ArticleDOI
TL;DR: In this paper, the authors compare data on the voicing of intervocalic stops in German and English with data on voice-based inter-sonorant lenis stops in true voice languages.
Abstract: It is well known that German utterance-initial lenis stops are voiceless but that German intervocalic (or intersonorant) lenis stops are sometimes produced with voicing. This variable voicing can be understood as passive voicing, voicing that results because of the voiced context, rather than from active voicing gestures by speakers. Thus, speakers are not actively aiming to voice intervocalic stops, just as they are not actively aiming to voice utterance-initial stops (Jessen & Ringen 2002, Jessen 2004). If this is correct, the variable voicing that occurs in aspirating languages should be different from the voicing that occurs in true voice languages (such as Russian), in which speakers are actively aiming to voice both initial and intervocalic lenis stops. Since there is little data on the relative amount of intervocalic voicing in true voice languages, however, it has been difficult to evaluate this prediction. The purpose of this paper is to compare data on the voicing of intervocalic stops in German and English with data on the voicing of intervocalic stops in true voice languages. We find that the differences are substantial, supporting the claim that aspirating languages are not like true voice languages, in which the feature of contrast is [voice].

96 citations

Journal ArticleDOI
TL;DR: Results of this and the previous collaborative RNA exercises support RNA profiling as a reliable body fluid identification method that can easily be combined with current STR typing technology.
Abstract: The European DNA Profiling Group (EDNAP) organized a fourth and fifth collaborative exercise on RNA/DNA co-analysis for body fluid identification and STR profiling. The task was to identify dried menstrual blood and vaginal secretion stains using specific RNA biomarkers, and additionally test 3 housekeeping genes for their suitability as reference genes. Six menstrual blood and six vaginal secretion stains, two dilution series (1/4-1/64 pieces of a menstrual blood/vaginal swab) and, optionally, bona fide or mock casework samples of human or non-human origin were analyzed by 24 participating laboratories, using RNA extraction or RNA/DNA co-extraction methods. Two novel menstrual blood mRNA multiplexes were used: MMP triplex (MMP7, MMP10, MMP11) and MB triplex (MSX1, LEFTY2, SFRP4) in conjunction with a housekeeping gene triplex (B2M, UBC, UCE). Two novel mRNA multiplexes and a HBD1 singleplex were used for the identification of vaginal secretion: Vag triplex (MYOZ1, CYP2B7P1 and MUC4) and a Lactobacillus-specific Lacto triplex (Ljen, Lcris, Lgas). The laboratories used different chemistries and instrumentation and all were able to successfully isolate and detect mRNA in dried stains. The simultaneous extraction of RNA and DNA allowed for positive identification of the tissue/fluid source of origin by mRNA profiling as well as a simultaneous identification of the body fluid donor by STR profiling, also from old and compromised casework samples. The results of this and the previous collaborative RNA exercises support RNA profiling as a reliable body fluid identification method that can easily be combined with current STR typing technology.

95 citations

Journal ArticleDOI
TL;DR: A number of common problems were identified such as strong peak imbalance in heterozygous genotypes for the larger short tandem repeat (STR) fragments after increased PCR cycle numbers, artefact signals and allelic drop-out and strategies are discussed to overcome these problems.

93 citations

Journal ArticleDOI
TL;DR: The system C4A.nH2O has been reinvestigated at 22°, 100 % and 65 % relative humidity as mentioned in this paper, where only very limited solid solution occurs in the system.

84 citations


Authors
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20226
202128
202021
201914
201815