SIG-DB: leveraging homomorphic encryption to Securely Interrogate privately held Genomic DataBases

Genomic data are becoming increasingly valuable as we develop methods to utilize the information at scale and gain a greater understanding of how genetic information relates to biological function. Advances in synthetic biology and the decreased cost of sequencing are increasing the amount of privately held genomic data. As the quantity and value of private genomic data grows, so does the incentive to acquire and protect such data, which creates a need to store and process these data securely. We present an algorithm for the Secure Interrogation of Genomic DataBases (SIG-DB). The SIG-DB algorithm enables databases of genomic sequences to be searched with an encrypted query sequence without revealing the query sequence to the Database Owner or any of the database sequences to the Querier. SIG-DB is the first application of its kind to take advantage of locality-sensitive hashing and homomorphic encryption to allow generalized sequence-to-sequence comparisons of genomic data.Comment: 38 pages, 3 figures, 4 tables, 1 supplemental table, 7 supplemental figure

Early Life Events Carry Over to Influence Pre-Migratory Condition in a Free-Living Songbird

Conditions experienced during development can have long-term consequences for individual success. In migratory songbirds, the proximate mechanisms linking early life events and survival are not well understood because tracking individuals across stages of the annual cycle can be extremely challenging. In this paper, we first use a 13 year dataset to demonstrate a positive relationship between 1st year survival and nestling mass in migratory Savannah sparrows (Passerculus sandwichensis). We also use a brood manipulation experiment to show that nestlings from smaller broods have higher mass in the nest relative to individuals from larger broods. Having established these relationships, we then use three years of field data involving multiple captures of individuals throughout the pre-migratory period and a multi-level path model to examine the hypothesis that conditions during development limit survival during migration by affecting an individual's ability to accumulate sufficient lean tissue and fat mass prior to migration. We found a positive relationship between fat mass during the pre-migratory period (Sept–Oct) and nestling mass and a negative indirect relationship between pre-migratory fat mass and fledging date. Our results provide the first evidence that conditions during development limit survival during migration through their effect on fat stores. These results are particularly important given recent evidence showing that body condition of songbirds at fledging is affected by climate change and anthropogenic changes to landscape structure

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

The MIQE Guidelines Uncloaked

The MIQE (Minimum Information for Publication of Quantitative Real-Time PCR Experiments) guidelines have been presented to serve as a practical guide for authors when publishing experimental data based on real-time qPCR. Each item is presented in tabular form as a checklist within the MIQE manuscript. However, this format has left little room for explanation of precisely what is expected from the items listed and no information on how one might go about assimilating the information requested. This chapter presents an expanded explanation of the guideline items with commentary on how those requirements might be met prior to publication

Distinct roles for miR-1 and miR-133a in the proliferation and differentiation of rhabdomyosarcoma cells

Rhabdomyosarcoma is the most common soft tissue sarcoma in the pediatric population. As this tumor has an undifferentiated myogenic phenotype, agents that promote differentiation hold particular promise as part of a novel therapeutic approach to combat this type of cancer. In this report, we focus on the contribution of two microRNAs (miRNAs) in rhabdomyosarcomas. Levels of miR-1 and miR-133a are drastically reduced in representative cell lines from each major rhabdomyosarcoma subtype (embryonal and alveolar). Introduction of miR-1 and miR-133a into an embryonal rhabdomyosarcoma-derived cell line is cytostatic, thereby suggesting a tumor suppressor-like role for these myogenic miRNAs. Transcriptional profiling of cells after miR-1 and miR-133a expression reveals that miR-1 (but not miR-133a) exerts a strong promyogenic influence on these poorly differentiated tumor cells. We identify mRNAs that are down-regulated by these miRNAs and propose roles for miR-1 and miR-133a in repressing isoforms of genes that are normally not expressed in muscle. Finally, we show that mRNA targets of miR-1 and miR-133a are up-regulated in rhabdomyosarcomas, suggesting a causative role for these miRNAs in the development of rhabdomyosarcomas. More important, these results point to the promise of enhancing rhabdomyosarcoma therapy using miRNAs as agents that mediate cytostasis and promote muscle differentiation.—Rao, P. K., Missiaglia, E., Shields, L., Hyde, G., Yuan, B., Shepherd, C. J., Shipley, J., Lodish, H. F. Distinct roles for Mir-1 and Mir-133a in the proliferation and differentiation of rhabdomyosarcoma cells

Regeneration beyond austerity:A collective viewpoint

This collective viewpoint concludes the special issue investigating austerity era regeneration by weaving different threads from each published article together with further insights. It is a collaborative effort -- a synthesis of some diverse views and opinions -- that seeks to extract some key themes, trends and possibilities relating to regeneration beyond austerity. Despite some significant concerns, the broader 'regeneration project' continues in distinct ways and at different paces. Through this paper, the authors attempt to stimulate debate concerning the evolution and recasting of regeneration over future years. It is hoped that this may lay some of the foundations for a new, more positive and progressive regeneration narrative, grounded in micro-practices and the particularities of place