Suchergebnisse

Der Medizinischen Hochschule Hannover ist jetzt der Durchbruch in der Proteomanalyse gelungen. Das Verfahren ist so genau, dass Krankheiten lange vor der Entstehung prognostiziert werden können. Dennoch wurde der Spitzentechnologie die Forschungsförderung versagt. Begründung: zu visionär.

"Proteomics is a multifaceted, interdisciplinary field which studies the complexity and dynamics of proteins in biological systems. It combines powerful separation and analytical technology with advanced informatics to understand the function of proteins in the cell and in the body. This book provides a clear conceptual description of each facet of proteomics, describes recent advances in technology and thinking in each area, and provides details of how these have been applied to a variety of biological problems. It is written by expert practitioners in the field, from industry, research institutions, and the clinic. It provides junior and experienced researchers with an invaluable proteomic reference, and gives fascinating glimpses of the future of this dynamic field."--Jacket

The phylogenetic relationships between hominins of the Early Pleistocene epoch in Eurasia, such as Homo antecessor, and hominins that appear later in the fossil record during the Middle Pleistocene epoch, such as Homo sapiens, are highly debated1-5. For the oldest remains, the molecular study of these relationships is hindered by the degradation of ancient DNA. However, recent research has demonstrated that the analysis of ancient proteins can address this challenge6-8. Here we present the dental enamel proteomes of H. antecessor from Atapuerca (Spain)9,10 and Homo erectus from Dmanisi (Georgia)1, two key fossil assemblages that have a central role in models of Pleistocene hominin morphology, dispersal and divergence. We provide evidence that H. antecessor is a close sister lineage to subsequent Middle and Late Pleistocene hominins, including modern humans, Neanderthals and Denisovans. This placement implies that the modern-like face of H. antecessor-that is, similar to that of modern humans-may have a considerably deep ancestry in the genus Homo, and that the cranial morphology of Neanderthals represents a derived form. By recovering AMELY-specific peptide sequences, we also conclude that the H. antecessor molar fragment from Atapuerca that we analysed belonged to a male individual. Finally, these H. antecessor and H. erectus fossils preserve evidence of enamel proteome phosphorylation and proteolytic digestion that occurred in vivo during tooth formation. Our results provide important insights into the evolutionary relationships between H. antecessor and other hominin groups, and pave the way for future studies using enamel proteomes to investigate hominin biology across the existence of the genus Homo. ; F.W. is supported by a Marie Skłodowska Curie Individual Fellowship (no. 795569). E. Cappellini was supported by VILLUM FONDEN (no. 17649). E.W. is supported by the Lundbeck Foundation, the Danish National Research Foundation, the Novo Nordisk Foundation, the Carlsberg Foundation, KU2016 and the Wellcome Trust. Without the effort of the members of the Atapuerca research team during fieldwork, this work would have not been possible; we make a special mention of J. Rosell, who supervises the excavation of the TD6 level. The research of the Atapuerca project has been supported by the Dirección General de Investigación of the Ministerio de Ciencia, Innovación y Universidades (grant numbers PGC2018-093925-B-C31, C32, and C33); field seasons are supported by the Consejería de Cultura y Turismo of the Junta de Castilla y León and the Fundación Atapuerca. We acknowledge The Leakey Foundation through the personal support of G. Getty (2013) and D. Crook (2014–2016, 2018, and 2019) to M.M.-T., as well as F.W. (2017). Restoration and conservation work on the material have been carried out by P. Fernández-Colón and E. Lacasa from the Conservation and Restoration Area of CENIEH-ICTS and L. López-Polín from IPHES. The picture of the specimen ATD6-92 was made by M. Modesto-Mata. E. Cappellini, J.C., J.V.O. and P. Gutenbrunner are supported by the Marie Skłodowska-Curie European Training Network (ETN) TEMPERA, a project funded by the European Union's Framework Program for Research and Innovation Horizon 2020 (grant agreement no. 722606). Amino acid analyses were undertaken thanks to the Leverhulme Trust (PLP-2012-116) and NERC (NE/K500987/1). T.M.-B. is supported by BFU2017-86471-P (MINECO/FEDER, UE), U01 MH106874 grant, Howard Hughes International Early Career, Obra Social 'La Caixa' and Secretaria d'Universitats i Recerca and CERCA Programme del Departament d'Economia i Coneixement de la Generalitat de Catalunya (GRC 2017 SGR 880). C.L.-F. is supported by a FEDER-MINECO grant (PGC2018-095931-B-100). M.K. was supported by the Postdoctoral Junior Leader Fellowship Programme from 'la Caixa' Banking Foundation (LCF/BQ/PR19/11700002). M.M. is supported by the Danish National Research Foundation award PROTEIOS (DNRF128). Work at the Novo Nordisk Foundation Center for Protein Research is funded in part by a donation from the Novo Nordisk Foundation (grant number NNF14CC0001).

The Human Liver Proteome Project (HLPP) is the largest international scientific research project ever headquartered in China. At the same time, the HLPP is one component of the global Human Proteome Project (HPP), which in 2001–2002 began dividing the organs and systems of the human body between different national laboratories and institutes. Research on the kidney was assigned to Japan, brain research to Germany, liver research to China, etc. Only in China, however, did the project take on the character of 'big science', successfully competing with other scientific initiatives for funding and prestige at the highest level, and developing 'national' characteristics similar to that of genomics research in the United States. Our article considers this flagship Chinese bioscience project from two complementary angles: as 'big science' at the cutting edge of biomedical research, and as a discursive and practice-oriented meeting ground between modern and 'traditional' Chinese medicine. We also discuss how these strands are politically and philosophically convergent.

De novo identification of chromatin interactors can reveal unexpected pathways relevant to physiology and human disease. Inspired by the DNA mediated chromatin pull-down (Dm-ChP) technology (also known as iPOND [isolation of proteins on nascent DNA]) for the proteomic characterization of nascent DNA, we have recently reported a new experimental protocol that allows for the identification of proteins on total DNA (iPOTD) for bulk chromatome profiling and de novo identification of chromatin-bound proteins. Here, we detail a step-by-step protocol to survey the cellular chromatin-bound proteome in a simple, robust, and unbiased manner. For complete details on the use and execution of this protocol, please refer to Aranda et al. (2019). ; The Proteomics Unit is supported by EPIC-XS, project number 823839, funded by the Horizon 2020 programme of the European Union. The Di Croce Laboratory is supported by grants from the Spanish Ministerio de Educación y Ciencia (BFU2016-75008-P) and by AGAUR.

Intra-tumor heterogeneity (ITH) has been characterized at the morphologic and genomic level. However, it is unclear how genomic heterogeneity is translated into functional proteome ITH. We addressed this question by performing a multi-region proteomic analysis of 60 biopsy-scale tissue samples from three prostate cancer patients using pressure cycling technology (PCT) and SWATH mass spectrometry. We quantified the degree of ITH for 1,906 proteins in malignant and benign tissue. The majority of proteins displayed a relatively low degree of ITH and benign tissue exhibited generally more complex patterns of ITH than malignant tissue. Further, we developed an ITH-corrected protein fold-change measure and demonstrated in an independent patient cohort that this new measure rescued potentially clinically relevant protein markers and stratified patients. This study established a strategy for quantifying proteome-scale ITH, generated a data resource of the proteomic ITH in prostate cancers, and demonstrated the value of considering ITH for tumor characterization. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 668858. This work was supported (in part) by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 15.0324-2. The opinions expressed and arguments employed therein do not necessarily reflect the official views of the Swiss Government. ; The information in this document is provided as is, and no guarantee or warranty is given that the information is fit for any particular purpose. The content of this document reflects only the author's view - the European Commission is not responsible for any use that may be made of the information it contains. The users use the information at their sole risk and liability.

The proteome of the postsynaptic terminal of excitatory synapses comprises over one thousand proteins in vertebrate species and plays a central role in behavior and brain disease. The brain is organized into anatomically distinct regions and whether the synapse proteome differs across these regions is poorly understood. Postsynaptic proteomes were isolated from seven forebrain and hindbrain regions in mice and their composition determined using proteomic mass spectrometry. Seventy-four percent of proteins showed differential expression and each region displayed a unique compositional signature. These signatures correlated with the anatomical divisions of the brain and their embryological origins. Biochemical pathways controlling plasticity and disease, protein interaction networks and individual proteins involved with cognition all showed differential regional expression. Combining proteomic and connectomic data shows that interconnected regions have specific proteome signatures. Diversity in synapse proteome composition is key feature of mouse and human brain structure. ; Support was obtained from the Medical Research Council (G0802238), European Union Seventh Framework Programme (FP7 grant agreement No. 604102) and Horizon 2020 (grant agreement No. 72027). We thank T. Le Bihan and L. Imrie at SynthSys, University of Edinburgh, for mass spectrometry sample analysis. The LC-MS QExactive equipment was purchased by a Wellcome Trust Institutional Strategic Support Fund and a strategic award from the Wellcome Trust for the Centre for Immunity, Infection and Evolution (095831/Z/11/Z). Data were extracted from Neuroimaging Informatics Technology Initiative (NIFTI) files using a custom automated script written by J. Roy, MEMEX, Inc. (Burlington, Ontario, Canada). We thank K. Elsegood for laboratory management and D. Maizels for artwork; C.S. Davey, editing. ; Peer reviewed

Acknowledgments This work was supported by funding from the CACHE (Calcium in a Changing Environment) initial training network (ITN) under the European Union Seventh Framework Programme, reference grant agreement number 605051. We acknowledge E. Dufour (UMR 7209, MNHN) for shell sample preparation. We thank G. Bolbach and L. Matheron (IBPS-FR3631, Paris) for proteomic analysis and discussions ; Peer reviewed ; Publisher PDF

© The Author(s) 2018. ; Interest in the Planctomycetes-Verrucomicrobia-Chlamydiae (PVC) bacterial superphylum is growing within the microbiology community. These organisms do not have a specialized web resource that gathers in silico predictions in an integrated fashion. Hence, we are providing the PVC community with PVCbase, a specialized web resource that gathers in silico predictions in an integrated fashion. PVCbase integrates protein function annotations obtained through sequence analysis and tertiary structure prediction for 39 representative PVC proteomes (PVCdb), a protein feature visualizer (Foundation) and a custom BLAST webserver (PVCBlast) that allows to retrieve the annotation of a hit directly from the DataTables. We display results from various predictors, encompassing most functional aspects, allowing users to have a more comprehensive overview of protein identities. Additionally, we illustrate how the application of PVCdb can be used to address biological questions from raw data. ; N.B. was funded by Marie Curie ITN FP7-ITN316723-PerFuMe. D.P.D. and J.C.G.S. were funded by the C2A grant EE: 2013/2506 from the Andalusian government. DPD was funded by the Spanish Ministry of Economy and Competitiveness (Grant nos. BFU2013-40866-P and BFU2016-78326-P).

A common problem encountered when performing large-scale MS proteome analysis is the loss of information due to the high percentage of unassigned spectra. To determine the causes behind this loss we have analyzed the proteome of one of the smallest living bacteria that can be grown axenically, Mycoplasma pneumoniae (729 ORFs). The proteome of M. pneumoniae cells, grown in defined media, was analyzed by MS. An initial search with both Mascot and a species-specific NCBInr database with common contaminants (NCBImpn), resulted in around 79% of the acquired spectra not having an assignment. The percentage of non-assigned spectra was reduced to 27% after re-analysis of the data with the PEAKS software, thereby increasing the proteome coverage of M. pneumoniae from the initial 60% to over 76%. Nonetheless, 33 413 spectra with assigned amino acid sequences could not be mapped to any NCBInr database protein sequence. Approximately, 1% of these unassigned peptides corresponded to PTMs and 4% to M. pneumoniae protein variants (deamidation and translation inaccuracies). The most abundant peptide sequence variants (Phe-Tyr and Ala-Ser) could be explained by alterations in the editing capacity of the corresponding tRNA synthases. About another 1% of the peptides not associated to any protein had repetitions of the same aromatic/hydrophobic amino acid at the N-terminus, or had Arg/Lys at the C-terminus. Thus, in a model system, we have maximized the number of assigned spectra to 73% (51 453 out of the 70 040 initial acquired spectra). ; This work was sup-ported by the European Research Council (ERC), the Fundación Marcelino Botín, the Spanish Ministerio de Economía y Com-petitividad BIO2007-61762 and the ISCIII (PI10/01702). TheCRG/UPF Proteomics Unit is part of the "Plataforma de Re-cursos Biomoleculares y Bioinform´aticos (ProteoRed)" supportedby grant PT13/0001 of Instituto de Salud Carlos III (ISCIII).We acknowledge the support of the Spanish Ministry of Economyand Competitiveness, 'Centro de Excelencia Severo Ochoa 2013–2017', SEV-2012-0208. This project has received funding fromthe European Union's Horizon 2020 research and innovationprogram under grant agreement No 634942