34
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      A guide to ancient protein studies

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references82

          • Record: found
          • Abstract: found
          • Article: not found

          The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data

          Affinity purification coupled with mass spectrometry (AP-MS) is now a widely used approach for the identification of protein-protein interactions. However, for any given protein of interest, determining which of the identified polypeptides represent bona fide interactors versus those that are background contaminants (e.g. proteins that interact with the solid-phase support, affinity reagent or epitope tag) is a challenging task. While the standard approach is to identify nonspecific interactions using one or more negative controls, most small-scale AP-MS studies do not capture a complete, accurate background protein set. Fortunately, negative controls are largely bait-independent. Hence, aggregating negative controls from multiple AP-MS studies can increase coverage and improve the characterization of background associated with a given experimental protocol. Here we present the Contaminant Repository for Affinity Purification (the CRAPome) and describe the use of this resource to score protein-protein interactions. The repository (currently available for Homo sapiens and Saccharomyces cerevisiae) and computational tools are freely available online at www.crapome.org.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A revised timescale for human evolution based on ancient mitochondrial genomes.

            Recent analyses of de novo DNA mutations in modern humans have suggested a nuclear substitution rate that is approximately half that of previous estimates based on fossil calibration. This result has led to suggestions that major events in human evolution occurred far earlier than previously thought. Here, we use mitochondrial genome sequences from ten securely dated ancient modern humans spanning 40,000 years as calibration points for the mitochondrial clock, thus yielding a direct estimate of the mitochondrial substitution rate. Our clock yields mitochondrial divergence times that are in agreement with earlier estimates based on calibration points derived from either fossils or archaeological material. In particular, our results imply a separation of non-Africans from the most closely related sub-Saharan African mitochondrial DNAs (haplogroup L3) that occurred less than 62-95 kya. Though single loci like mitochondrial DNA (mtDNA) can only provide biased estimates of population divergence times, they can provide valid upper bounds. Our results exclude most of the older dates for African and non-African population divergences recently suggested by de novo mutation rate estimates in the nuclear genome. Copyright © 2013 Elsevier Ltd. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Assessing ancient DNA studies.

              The study of ancient DNA has the potential to make significant and unique contributions to ecology and evolution. However, the techniques used contain inherent problems, particularly with regards to the generation of authentic and useful data. The solution currently advocated to reduce contamination and artefactual results is to adopt criteria for authentication. Nevertheless, these criteria are not foolproof, and we believe that they have, in practice, replaced the use of thought and prudence when designing and executing ancient DNA studies. We argue here that researchers in this field must take a more cognitive and self-critical approach. Specifically, in place of checking criteria off lists, researchers must explain, in sufficient enough detail to dispel doubt, how the data were obtained, and why they should be believed to be authentic.
                Bookmark

                Author and article information

                Journal
                Nature Ecology & Evolution
                Nat Ecol Evol
                Springer Nature
                2397-334X
                March 26 2018
                :
                :
                Article
                10.1038/s41559-018-0510-x
                29581591
                0084456b-797d-4508-b78f-0216f6fd7c61
                © 2018

                http://www.springer.com/tdm

                History

                Comments

                Comment on this article