Algal biomusic generation

Acknowledgements: The authors thank Peter Coppola, Ezra Kitson and Henry Lloyd-Laney for helpful discussions.Publication status: PublishedFunder: Biotechnology and Biological Sciences Research Council; FundRef: https://doi.org/10.13039/10.13039/501100000268Funder: the Engineering and Physical Sciences Research CouncilTechnologies which can generate music with limited human intervention are a longstanding area of investigation for musicians and musicologists, with particular interest in how these technologies can be harnessed for ecocentric forms of musical expression. To date, most of these efforts have focused on the use of computational algorithms to compose music. Biomusic – music created using biological data – provides an alternative paradigm for the creation of non-human music which can be truly ecocentric. Photosynthetic organisms in particular offer the ability to create music which responds to changes in their environment, such as changes in light conditions and temperature. Herein, we propose how the ubiquitous bioelectrical activities of algae (which are correlated with their photosynthetic activity) can be utilized for biomusic generation. In addition to describing the scientific principles underpinning these algal biomusic systems, we also provide tutorial descriptions of the bioelectrochemical devices and signal processing pipelines which can be used to engineer them. In addition, we provide an overview of the many musical applications that can be accessed with this technology, highlighting a few pioneering examples of algal biomusic generation

Physical activity and breast cancer survival: an epigenetic link through reduced methylation of a tumor suppressor gene L3MBTL1

The study was conducted to determine the effect of physical activity on DNA methylation and to predict the consequence of this effect concerning gene expression and breast cancer survival. Blood samples, collected from 12 breast cancer patients who participated in a randomized clinical trial of exercise, were examined for exercise-related changes in DNA methylation using a methylation microarray. Tumor samples of 348 breast cancer patients were analyzed with qRT-PCR and qMSP to determine gene expression and methylation identified in the microarray analysis. Cox regression models were developed to predict survival outcomes in association with gene expression and methylation. After 6 months of moderate-intensity aerobic exercise, changes in DNA methylation (P < 5 x 10(-5)) in peripheral blood leukocytes were detected in 43 genes from a panel of 14 495. Based on the list, we analyzed gene expression in association with overall survival in breast tumors and found three genes whose methylation was reduced after exercise were favorably in association with overall survival, i.e., higher expression associated with better survival. Of the three genes, L3MBTL1 was a putative tumor suppressor gene with known function to repress chromatin for transcription, which is activated mainly in germline stem cells. Further analyses of tumor features among patients indicated that high expression of L3MBTL1 was associated with low grade and hormone receptor-positive tumors, as well as low risk of disease recurrence and breast cancer death. In conclusion, the study suggests that increasing physical activity after a breast cancer diagnosis may affect epigenetic regulation of tumor suppressor genes, which have favorable impacts on survival outcomes of breast cancer patients.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000303509200012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701OncologySCI(E)25ARTICLE1127-13513

Association between miR-200c and survival of stage I epithelial ovarian cancer patients. A retrospective study on two independent tumour tissue collections.

BACKGROUND: International Federation of Gynecology and Obstetrics stage I epithelial ovarian cancer (EOC) has a significantly better prognosis than stage III/IV EOC, with about 80% of patients surviving at 5 years (compared with about 20% of those with stage III/IV EOC). However, 20% of patients with stage I EOC relapse within 5 years. It is therefore crucial that the biological properties of stage I EOCs are further elucidated. MicroRNAs (miRNAs) have shown diagnostic and prognostic potential in stage III and IV EOCs, but the small number of patients diagnosed with stage I EOC has so far prevented an investigation of its molecular features. We profiled miRNA expression in stage I EOC tumours to assess whether there is a miRNA signature associated with overall and progression-free survival (PFS) in stage I EOC. METHODS: We analysed tumour samples from 144 patients (29 of whom relapsed) with stage I EOC gathered from two independent tumour tissue collections (A and B), both with a median follow-up of 9 years. 89 samples from tumour tissue collection A were stratified into a training set (51 samples, 15 of which were from patients who relapsed) for miRNA signature generation, and into a validation set (38 samples, seven of which were from patients who relapsed) for signature validation. Tumour tissue collection B (55 samples, seven of which were from patients who relapsed) was used as an independent test set. The Cox proportional hazards model and the log-rank test were used to assess the correlation of quantitative reverse transcription PCR (qRT-PCR)-validated miRNAs with overall survival and PFS. FINDINGS: A signature of 34 miRNAs associated with survival was generated by microarray analysis in the training set. In both the training set and validation set, qRT-PCR analysis confirmed that 11 miRNAs (miR-214, miR-199a-3p, miR-199a-5p, miR-145, miR-200b, miR-30a, miR-30a*, miR-30d, miR-200c, miR-20a, and miR-143) were expressed differently in relapsers compared with non-relapsers. Three of these miRNAs (miR-200c, miR-199a-3p, miR-199a-5p) were associated with PFS, overall survival, or both in multivariate analysis. qRT-PCR analysis in the test set confirmed the downregulation of miR-200c in relapsers compared with non-relapsers, but not the upregulation of miR-199a-3p and miR-199a-5p. Multivariate analysis confirmed that downregulation of miR-200c in the test set was associated with overall survival (HR 0\ub7094, 95% CI 0\ub7012-0\ub7766, p=0\ub70272) and PFS (0\ub7035, 0\ub7004-0\ub7311; p=0\ub70026), independent of clinical covariates. INTERPRETATION: miR-200c has potential as a predictor of survival, and is a biomarker of relapse, in stage I EOC

Powering a microprocessor by photosynthesis

Sustainable, affordable and decentralised sources of electrical energy are required to power the network of electronic devices known as the Internet of Things. Power consumption for a single Internet of Things device is modest, ranging from μW to mW, but the number of Internet of Things devices has already reached many billions and is expected to grow to one trillion by 2035, requiring a vast number of portable energy sources (e.g., a battery or an energy harvester). Batteries rely largely on expensive and unsustainable materials (e.g., rare earth elements) and their charge eventually runs out. Existing energy harvesters (e.g., solar, temperature, vibration) are longer lasting but may have adverse effects on the environment (e.g., hazardous materials are used in the production of photovoltaics). Here, we describe a bio-photovoltaic energy harvester system using photosynthetic microorganisms on an aluminium anode that can power an Arm Cortex M0+, a microprocessor widely used in Internet of Things applications. The proposed energy harvester has operated the Arm Cortex M0+ for over six months in a domestic environment under ambient light. It is comparable in size to an AA battery, and is built using common, durable, inexpensive and largely recyclable materials

Powering a microprocessor by photosynthesis

A photosynthesis-driven biophotovoltaic system with an Al-anode powered a microprocessor widely used in IoT applications stably for over six months.</jats:p

Surgical and medical treatment of clear cell ovarian cancer: results from the multicenter Italian Trials in Ovarian Cancer (MITO) 9 retrospective study

Clear cell ovarian carcinoma has a poorer prognosis compared with other histological subtypes

A modular toolset for electrogenetics

AbstractSynthetic biology research and its industrial applications rely on the deterministic spatiotemporal control of gene expression. Recently, electrochemical control of gene expression has been demonstrated in electrogenetic systems (redox-responsive promoters used alongside redox inducers and an electrode), allowing for the direct integration of electronics with complex biological processes for a variety of new applications. However, the use of electrogenetic systems is limited by poor activity, tunability and standardisation. Here, we have developed a variety of genetic and electrochemical tools that facilitate the design and vastly improve the performance of electrogenetic systems. We developed a strong, unidirectional, redox-responsive promoter before deriving a mutant promoter library with a spectrum of strengths. We then constructed genetic circuits with these parts and demonstrated their activation by multiple classes of redox molecules. Finally, we demonstrated electrochemical activation of gene expression in aerobic conditions utilising a novel, modular bioelectrochemical device. This toolset provides researchers with all the elements needed to design and build optimised electrogenetic systems for specific applications.</jats:p