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A workshop held last June by the National Institutes of Health (NIH) Director’s Office, Nature Publishing Group, and Science focused on the role that journals play in supporting scientific research that is reproducible, robust, and transparent. The “Principles and Guidelines for Reporting Preclinical Research” that emerged from the workshop have since been endorsed by nearly 80 societies, journals, and associations.VOL.290,NO.50,pp.29692–29694 - 2015

The gender imbalance in science, technology, engineering, and math (STEM) fields has remained constant for decades and increases the farther up the STEM career pipeline one looks. Why does the underrepresentation of women endure? This study investigated the role of parenthood as a mechanism of gender-differentiated attrition from STEM employment. Using a nationally representative 8-year longitudinal sample of US STEM professionals, we examined the career trajectories of new parents after the birth or adoption of their first child. We found substantial attrition of new mothers: 43% of women leave full-time STEM employment after their first child. New mothers are more likely than new fathers to leave STEM, to switch to part-time work, and to exit the labor force. These gender differences hold irrespective of variation by discipline, race, and other demographic factors. However, parenthood is not just a “mother’s problem”; 23% of new fathers also leave STEM after their first child. Suggesting the difficulty of combining STEM work with caregiving responsibilities generally, new parents are more likely to leave full-time STEM jobs than otherwise similar childless peers and even new parents who remain employed full time are more likely than their childless peers to exit STEM for work elsewhere. These results have implications for policymakers and STEM workforce scholars; whereas parenthood is an important mechanism of women’s attrition, both women and men leave at surprisingly high rates after having children. Given that most people become parents during their working lives, STEM fields must do more to retain professionals with children.doi/10.1073/pnas.1810862116 - 2019

Carbon nanomaterials (CNMs) are an incredibly versatile class of materials that can be used as scaffolds to construct anticancer nanocarrier systems. The ease of chemical functionalisation, biocompatibility, and intrinsic therapeutic capabilities of many of these nanoparticles can be leveraged to design effective anticancer systems. This article is the first comprehensive review of CNM-based nanocarrier systems that incorporate approved chemotherapy drugs, and many different types of CNMs and chemotherapy agents are discussed. Almost 200 examples of these nanocarrier systems have been analysed and compiled into a database. The entries are organised by anticancer drug type, and the composition, drug loading/release metrics, and experimental results from these systems have been compiled. Our analysis reveals graphene, and particularly graphene oxide (GO), as the most frequently employed CNM, with carbon nanotubes and carbon dots following in popularity. Moreover, the database encompasses various chemotherapeutic agents, with antimicrotubule agents being the most common payload due to their compatibility with CNM surfaces. The benefits of the identified systems are discussed, and the factors affecting their efficacy are detailed.doi.org/10.3390/pharmaceutics15051545 - 2023

Human tissues are invaluable resources for pharmaceutical research. They provide information about disease pathophysiology - and equally importantly, healthy function; confirmation (or refutation) of potential drug targets; validation (or otherwise) of other models employed; and functional models for assessing drugs’ effects, whether beneficial or undesirable, in the most appropriate environment that can be replicated outside the human body. While human tissues have long been prized by pathologists in furthering our under- standing of disease processes, there is a growing appreciation of their value at the late pre-clinical stage of drug discovery. Human tissues’ potential to contribute to earlier phases of the process, before significant resources have been expended, is also now gaining recognition. Mounting concern over high rates of clinical stage drug failures mandates exploration of avenues for improving efficiency. Human tissue-based assays could play a key role in improving the translation process, as well as in moving towards stratified or personalised medicines. This editorial highlights some of the potential benefits of introducing human biosamples at each stage of the research process as a drug moves from concept to clinic. Some of the challenges with respect to obtaining tissues, minimising variability and gaining acceptance are also discussed.https://doi.org/10.1517/17460441.2012.689282 - 2012

Albert Einstein once eloquently stated “We still do not know one thousandth of one percent of what nature has revealed to us.” Mother Nature has proven time and again to be the best engineer, architect, scientist, and doctor. This fact has not been lost on mankind, and since time immemorial, we have looked to nature for answers to human conditions and diseases. Indeed, our first evidence dates back to preliterary history as long as 50,000 years ago, in archaeological discoveries from a Middle Eastern grave site at Shanidar, Iraq, of a Neanderthal man which contained plant specimens, of which are still used in local traditional medicine. Since then, the use and application of herbal medicine has been recorded in every society from Traditional Chinese, Ayurvedic, Yunani, and other cultures in the developing world.DOI: 10.1097/FJC.0000000000001278 - 2022

Triple negative breast cancer (TNBC) remains a therapeutic challenge due to the lack of targetable genetic alterations and the frequent development of resistance to the standard cisplatin-based chemotherapies. Here, we have taken a systems biology approach to investigate kinase signal transduction networks that are involved in TNBC resistance to cisplatin. Treating a panel of cisplatin- sensitive and cisplatin-resistant TNBC cell lines with a panel of kinase inhibitors allowed us to reconstruct two kinase signalling networks that characterise sensitive and resistant cells. The analysis of these networks suggested that the activation of the PI3K/AKT signalling pathway is critical for cisplatin resistance. Experimental validation of the computational model predictions confirmed that TNBC cell lines with activated PI3K/AKT signalling are sensitive to combinations of cisplatin and PI3K/AKT pathway inhibitors. Thus, our results reveal a new therapeutic approach that is based on identifying targeted therapies that synergise with conventional chemotherapies.doi.org/10.3390/jpm12081277 - 2022

Meta-research, or the science of science, is a powerful technique that scientists can use to improve science, however most scientists are unaware that meta-research exists and courses are rare. This initiative demonstrates the feasibility of a participant-guided “learn by doing” approach, in which a multidisciplinary, global team of early career researchers learned meta-research skills by working together to design, conduct and publish a meta-research study.https://doi.org/10.1371/journal.pbio.3001073 - 2021

Mechanically interlocked molecules such as rotaxanes and catenanes contain free-moving components that cannot dissociate and have enabled the investigation and control of various translational and rotational molecular motions. The architecture of pseudo-rotaxanes and of some kinetically labile rotaxanes is comparable to that of rotaxanes but their components are reversibly associated and not irreversibly interlocked. In other words, pseudo-rotaxanes may fall apart. This Account focuses on a peculiar family of rotaxane-like architectures termed foldaxanes. Foldaxanes consist of a helically folded oligomer wound around a rod-like dumbbell-shaped guest. Winding of the helix around the rod thus entails an unwinding−rewinding process that creates a kinetic barrier. It follows that foldaxanes, albeit reversibly assembled, have significant lifetimes and may not fall apart while defined molecular motions are triggered. Foldaxanes based on helically folded aromatic oligoamide hosts and oligo(alkyl carbamate) guests can be designed rationally through the inclusion of complementary binding motifs on the rod and at the inner rim of the helix so that helix length and rod length match. Single helical foldaxanes (bimolecular species) and double helical foldaxanes (trimolecular species) have thus been produced as well as poly[n]foldaxanes, in which several helices bind to long rods with multiple binding stations. When the binding stations differ and are organized in a certain sequence, a complementary sequence of different stacked helices, each matching with their binding station, can be assembled, thus reproducing in an artificial system a sort of translation process.https://doi.org/10.1021/acs.accounts.2c00050 - 2022

[Ru(phen)2 (dppz)]2+ has been studied since the 1990s due to its ‘light-switch’ properties. It can be used as a luminescent DNA probe, with emission switched on through DNA binding. The luminescence observed is dependent on the solvent accessibility of the pyrazine nitrogen atoms, and therefore is sensitive to changes in both binding site of the cation and chromophore orientation. The compound is also chiral, and there are distinct differences between the enantiomers in terms of the emission behaviour when bound to a variety of DNA sequences. Whilst a number of binary DNA-complex X-ray crystal structures are available, most include the lambda enantiomer and there is very little structural information about binding of the delta enantiomer. Here, we present the first X-ray crystal structure of a delta enantiomer bound to well-matched DNA, in the absence of the other, lamda enantiomer. We show how the binding site observed here can be related to a more general pattern of motifs in the crystallographic literature and propose that the delta enantiomer can bind with five different binding modes, offering a new hypothesis for the interpretation of solution data.doi: 10.1093/nar/gkw753 - 2016

The movement towards open science is a consequence of seemingly pervasive failures to replicate previous research. This transition comes with great benefits but also significant challenges that are likely to affect those who carry out the research, usually early career researchers (ECRs). Here, we describe key benefits, including reputational gains, increased chances of publication, and a broader increase in the reliability of research. The increased chances of publication are supported by exploratory analyses indicating null findings are substantially more likely to be published via open registered reports in comparison to more conventional methods. These benefits are balanced by challenges that we have encountered and that involve increased costs in terms of flexibility, time, and issues with the current incentive structure, all of which seem to affect ECRs acutely. Although there are major obstacles to the early adoption of open science, overall open science practices should benefit both the ECR and improve the quality of research. We review 3 benefits and 3 challenges and provide suggestions from the perspective of ECRs for moving towards open science practices, which we believe scientists and institutions at all levels would do well to consider.https:// doi.org/10.1371/journal.pbio.3000246 - 2019

We describe an isothermal, single-reaction method for assembling multiple overlapping DNA molecules by the concerted action of a 5' exonuclease, a DNA polymerase and a DNA ligase. First we recessed DNA fragments, yielding single-stranded DNA overhangs that specifically annealed, and then covalently joined them. This assembly method can be used to seamlessly construct synthetic and natural genes, genetic pathways and entire genomes, and could be a useful molecular engineering tool.DOI:10.1038/NMETH.1318 - 2009

Formation of natural intramolecular triple-helical structures of DNA is still an intriguing research topic in view of the possible involvement of these structures in biological processes. The biochemical and biophysical properties of DNA triplex structures have been extensively studied, and experimental data show that H-DNA is likely to form in vivo and may regulate the expression of various genes. However, direct and unambiguous evidence of the possible biological roles of these structures is yet elusive. This review focuses on the basic facts that are in favor of, or against, the hypothesis of the presence and function of natural DNA triple-helical structures in vivo, and outlines the different methods and probes that have been used to support these facts.DOI 10.1007/s00018-003-3046-3 - 2003

In STEM, and particularly in science, many early career researchers find themselves isolated and lacking guidance. There is an enormous need to connect early career scientists with experienced professionals outside their immediate work environment. A new initiative aims to create a supportive community to foster communication between scientists through all stages of their career.https://doi.org/10.1016/j.molmed.2019.08.007 - 2019

Pneumocystis, a major opportunistic pathogen in patients with a broad range of immunodeficiencies, contains abundant surface proteins encoded by a multicopy gene family, termed the major surface glycoprotein (Msg) gene superfamily. This superfamily has been identified in all Pneumocystis species characterized to date, highlighting its important role in Pneumocystis biology. In this report, through a comprehensive and in-depth characterization of 459 msg genes from 7 Pneumocys- tis species, we demonstrate, for the first time, the phylogeny and evolution of conserved domains in Msg proteins and provide a detailed description of the classification, unique characteristics, and phylogenetic relatedness of five Msg families. We further describe, for the first time, the relative expression levels of individual msg families in two rodent Pneumocystis species, the substantial variability of the msg repertoires in P. carinii from laboratory and wild rats, and the distinct features of the expression site for the classic msg genes in Pneumocystis from 8 mammalian host species. Our analysis suggests multiple functions for this superfamily rather than just conferring antigenic variation to allow immune evasion as previously believed. This study provides a rich source of information that lays the foundation for the continued experimental exploration of the functions of the Msg superfamily in Pneumocystis biology.https://doi.org/10 .1128/mBio.02878-19 - 2020

Myeloid derived suppressors cells (MDSC) play major roles in regulating immune homeostasis and immune responses in many conditions, including cancer. MDSC interact with cancer cells within the tumor microenvironment (TME) with direct and indirect mechanisms: production of soluble factors and cytokines, expression of surface inhibitory molecules, metabolic rewiring and exosome release. The two-way relationship between MDSC and tumor cells results in immune evasion and cancer outgrowth. In multiple myeloma (MM), MDSC play a major role in creating protumoral TME conditions. In this minireview, we will discuss the interplay between MDSC and MM TME and the possible strategies to target MDSC.doi: 10.3389/fimmu.2022.1102471 - 2023

Early career researchers face uncertainties with respect to their job prospects due to dwindling job markets, decreased availability of funding and undefined career paths. As basic researchers and clinicians tend to have different approaches to scientific problems, there are many advantages from successful collaborations between them. Here, we discuss how collaborations between basic and clinical scientists should be promoted early in their careers. To achieve this, researchers, both basic and clinical, must be proactive during their training and early stages of their careers. Mentors can further augment collaborative links in many ways. We suggest that universities and institutions might reassess their involvement in promoting collaborations between basic and clinical researchers. We hope that this paper will serve as a reminder of the importance of such collaborations, and provide the opportunity for all members of the scientific community to reflect on and ame- liorate their own contributions.DOI: 10.1111/jth.13447 - 2016

DNA has emerged as an attractive medium for archival data storage due to its durability and high information density. Scalable parallel random access to information is a desirable property of any storage system. For DNA-based storage systems, however, this still needs to be robustly established. Here we report on a thermoconfined polymerase chain reaction, which enables multiplexed, repeated random access to compartmentalized DNA files. The strategy is based on localizing biotin-functionalized oligonucleotides inside thermoresponsive, semipermeable microcapsules. At low temperatures, microcapsules are permeable to enzymes, primers and amplified products, whereas at high temperatures, membrane collapse prevents molecular crosstalk during amplification. Our data show that the platform outperforms non-compartmentalized DNA storage compared with repeated random access and reduces amplification bias tenfold during multiplex polymerase chain reaction. Using fluorescent sorting, we also demonstrate sample pooling and data retrieval by microcapsule barcoding. Therefore, the thermoresponsive microcapsule technology offers a scalable, sequence-agnostic approach for repeated random access to archival DNA files.https://doi.org/10.1038/s41565-023-01377-4 - 2023

Induced pluripotent stem cells (iPSCs) enable the generation of previously unattainable, scalable quantities of disease- relevant tissues from patients suffering from essentially any genetic disorder. This cellular material has proven instrumental for drug screening efforts on these disorders, and has facilitated the identification of novel therapeutics for patients. Here we will review the foundational technologies that have enabled iPSCs, the power and limitations of iPSC-based compound screens along with screening guidelines, and recent examples of screening efforts. Additionally we will provide a brief commentary on the future scientific roadmap using pluripotent- and 3D organoid-based, combinatorial approaches.doi: 10.1093/hmg/ddy186 - 2018

Improving the reproducibility of neuroscience research is of great concern, especially to early-career researchers (ECRs). Here I outline the potential costs for ECRs in adopting practices to improve reproducibility. I highlight the ways in which ECRs can achieve their career goals while doing better science and the need for established researchers to support them in these efforts.https://doi.org/10.1016/j.neuron.2018.11.030 - 2019

Precipitation of DNA is performed frequently in molecular biology laboratories for the purpose of purification and concentration of samples and also for transfer of DNA into cells. Metal ions are used to facilitate these processes, though their precise functions are not well characterized. In the current study we have investigated the precipitation of double-stranded DNA by group 1 and group 2 metal ions. Double-stranded DNAs were not sedimented efficiently by metals alone, even at high concentrations. Increasing the pH to 11 or higher caused strong DNA precipitation in the presence of the divalent group 2 metals magnesium, calcium, strontium and barium, but not group 1 metals. Group 2 sedimentation profiles were distinctly different from that of the transition metal zinc, which caused precipitation at pH 8. Analysis of DNAs recovered from precipitates formed with calcium revealed that structural integrity was retained and that sedimentation efficiency was largely size-independent above 400 bp. Several tests supported a model whereby single-stranded DNA regions formed by denaturation at high pH became bound by the divalent metal cations. Neutralization of negative surface charges reduced the repulsive forces between molecules, leading to formation of insoluble aggregates that could be further stabilized by cation bridging (ionic crosslinking).doi:10.1016/j.ab.2020.114099 - 2021

A new method for determining nucleotide sequences in DNA is described. It is similar to the "plus and minus" method but makes use of the 2',3 '- dideoxy and arabinonucleoside analogues of the normal deoxynucleoside triphosphates, which act as specific chain-terminating inhibitors of DNA polymerase. The technique has been applied to the DNA of bacteriophage phiX174 and is more rapid and more accurate than either the plus or the minus method.doi: 10.1073/pnas.74.12.5463. - 1977

High dropout rates, delay, and dissatisfaction among PhD students are common problems in doctoral education. Research shows that many different factors are associated with doctoral success, but these factors have not often been studied simultaneously. Moreover, characteristics of the PhD project are mostly neglected. In this study, we investigate which supervision, psychosocial, and project characteristics are related to satisfaction, progress, and quit intentions in a sample of 839 PhD candidates at a university in the Netherlands. Results of regression analyses show that experienced workload was negatively related to satisfaction and progress and positively to quit intentions. The quality of the supervisor-PhD candidate relationship, the PhD candidate’s sense of belonging, the amount of freedom in the project, and working on a project closely related to the supervisor’s research were positively related to satisfaction and negatively to quit intentions. The high workload of PhD candidates should be a major point of attention for universities who wish to increase their rates of PhD completion and PhD candidates’ satisfaction. In addition, the ‘match’ between PhD candidate and supervisor is crucial, both personally – a good relationship – and academically, i.e. that the PhD candidate works on a topic closely related to the supervisor’s research.https://doi.org/10.1080/0158037X.2019.1652158 -2021

Temporally precise, noninvasive control of activity in well-defined neuronal populations is a long-sought goal of systems neuroscience. We adapted for this purpose the naturally occurring algal protein Channelrhodopsin-2, a rapidly gated light-sensitive cation channel, by using lentiviral gene delivery in combination with high-speed optical switching to photostimulate mammalian neurons. We demonstrate reliable, millisecond- timescale control of neuronal spiking, as well as control of excitatory and inhibitory synaptic transmission. This technology allows the use of light to alter neural processing at the level of single spikes and synaptic events, yielding a widely applicable tool for neuroscientists and biomedical engineers.doi:10.1038/nn1525 - 2005

Chromatin is the complex of DNA and proteins in which the genetic material is packaged inside the cells of organisms with nuclei. Chromatin structure is dynamic and exerts profound control over gene expression and other fundamental cellular processes. Changes in its structure can be inherited by the next generation, independent of the DNA sequence itself.doi:10.1038/nature01411 - 2003

Artificial deep neural networks (DNNs) initially inspired by the brain enable computers to solve cognitive tasks at which humans excel. In the absence of explanations for such cognitive phenomena, in turn cognitive scientists have started using DNNs as models to investigate biological cognition and its neural basis, creating heated debate. Here, we reflect on the case from the perspective of philosophy of science. After putting DNNs as scientific models into context, we discuss how DNNs can fruitfully contribute to cognitive science. We claim that beyond their power to provide predictions and explanations of cognitive phenomena, DNNs have the potential to contribute to an often overlooked but ubiquitous and fundamental use of scientific models: exploration.https://doi.org/10.1016/j.tics.2019.01.009 - 2019

In June of 2018, the World Health Organization (WHO) released the 11th edition of its International Classification of Diseases, and for the first time added aging. The classification of aging as a disease paves the way for new research into novel therapeutics to delay or reverse age-related illnesses such as cancer, cardiovascular and metabolic disease, and neurodegeneration. Nutrient sensing systems have been an intense focus of investigation, including mTOR (the mammalian target of rapamycin) for regulating protein synthesis and cell growth; AMPK (activated protein kinase) for sensing low energy states; and sirtuins, a family of seven proteins critical to DNA expression and aging, which can only function in conjunction with NAD+ (nicotinamide adenine dinucleotide), a coenzyme present in all living cellsIntegr Med (Encinitas).2020 Feb;19(1):12-14.

The human body needs about 20 essential elements in order to function properly and among them, for certain, 10 are metal elements, though for every metal we do need, there is another one in our body we could do without it. Until about 1950 poor attention was given to the so-called “inorganic elements” and while researches on “organic elements” (C, N, O and H) and organic compounds were given high priority, studies on essential inorganic elements were left aside. Base on current knowledge it is ascertained today that metals such as Na, K, Mg, Ca, Fe, Mn, Co, Cu, Zn and Mo are essential elements for life and our body must have appropriate amounts of them. Here a brief overview to highlight their importance and current knowledge about their essentiality.https://doi.org/10.1016/j.jinorgbio.2019.03.013 - 2019

Short single-stranded nucleic acids as found in a variety of bodily fluids have recently emerged as minimally invasive biomarkers for a broad range of pathologies, most notably cancer. Because of their small size, low natural abundance and high sequence homology between family members they are challenging to detect using standard technologies suitable for use at the point-of-care. Herein we report the design, engineering and testing of a novel sensing strategy: electrochemically active molecular probes based on peptide nucleic acid (PNA) scaffolds for the detection of single-stranded oligonucleotides, in particular microRNAs (or miRs). As a proof-of- principle, a wide range of probes were designed and tested to detect miR-141, a known diagnostic biomarker for prostate cancer. Optimal quantitative sensing of miR-141 was achieved via the first example of an electro-chemical oligonucleotide-templated reaction (EOTR), whereby two PNA probes - functionalized with an aniline and a 1,4-catechol respectively - preferentially react with each other upon simultaneous hybridization to the same RNA target strand, serving here as a template. Quantitative, electrochemical detection of the product of this bio-orthogonal reaction showed direct correlation between adduct formation and miR-141 concentration. Coupling the specificity of OTR with the speed and sensitivity of electrochemical sensing delivers EOTRs as a promising new technique for fast, low-cost, quantitative and sequence-specific detection of short nucleic acids from liquid biopsies.https://doi.org/10.1016/j.bios.2020.112891 - 2020

A primary goal of human genetics is to identify DNA sequence variants that influence biomedical traits, particularly those related to the onset and progression of human disease. Over the past 25 years, progress in realizing this objective has been transformed by advances in technology, foundational genomic resources and analytical tools, and by access to vast amounts of genotype and phenotype data. Genetic discoveries have substantially improved our understanding of the mechanisms responsible for many rare and common diseases and driven development of novel preventative and therapeutic strategies. Medical innovation will increasingly focus on delivering care tailored to individual patterns of genetic predisposition.https://doi.org/10.1038/s41586-019-1879-7 - 2020

In 2006, to address the global inequitable access to influenza vaccines in the event of an influenza pandemic, WHO, with support of donors and partners, embarked on an ambitious project, the Technology Transfer Initiative (TTI), to facilitate influenza vaccine production capacity-building in low- and middle-income countries (LMICs). This commentary briefly summarizes the high-level lessons learned, key challenges encountered, and critical components needed for success.https://doi.org/10.1016/j.vaccine.2022.06.057 - 2022

DNA damage–inducible miRNAs are likely to be functional in the DNA damage response. This response can elicit damage resolution and cell survival or apoptosis. The current, albeit incomplete, picture suggests that miRNAs can affect cell fate via modulation of key response proteins, but the question is, who’s in charge?https://doi.org/10.1016/j.tig.2021.06.018 - 2021

Chronic diseases are the leading cause of death worldwide with increasing prevalence in all age groups, genders, and ethnicities. Most chronic disease deaths occur in middle-to low-income countries but are also a significant health problem in developed nations. Multiple chronic diseases now affect children and adolescents as well as adults. Being physically inactive is associated with increased chronic disease risk. Global societies are being negatively impacted by the increasing prevalence of chronic disease which is directly related to rising healthcare expenditures, workforce complications regarding attendance and productivity, military personnel recruitment, and academic success. However, increased physical activity (PA) and exercise are associated with reduced chronic disease risk. Most physiologic systems in the body benefit positively from PA and exercise by primary disease prevention and secondary disease prevention/treatment. The purpose of this brief review is to describe the sig- nificant global problem of chronic diseases for adults and children, and how PA and exercise can provide a non-invasive means for added prevention and treatment.https://doi.org/10.1016/j.smhs.2019.08.006 - 2019

Human aromatase is the cytochrome P450 catalysing the conversion of androgens into estrogens playing a key role in the endocrine system. Due to this role, it is likely to be a target of the so-called endocrine disrupting chemicals, a series of compounds able to interfere with the hormone system with toxic effects. If on one side the toxicity of some compounds such as bisphenol A is well known, on the other side the toxic concentrations of such compounds as well as the effect of the many other molecules that are in contact with us in everyday life still need a deep investigation. The availability of biological assays able to detect the interaction of chemicals with key molecular targets of the endocrine system represents a possible solution to identify potential endocrine disrupting chemicals.Here the so-called alkali assay previously developed in our laboratory is applied to test the effect of different compounds on the activity of human aromatase. The assay is based on the detection of the alkali product that forms upon strong alkali treatment of the NADP+ released upon enzyme turnover. Here it is applied on human aromatase and validated using anastrozole and sildenafil as known aromatase inhibitors. Out of the small library of compounds tested, resveratrol and ketoconazole resulted to inhibit aromatase activity, while bisphenol A and nicotine were found to exert an inhibitory effect at relatively high concentrations (100 μM), and other molecules such as lindane and four plasticizers did not show any significant effect. These data are confirmed by quantification of the product estrone in the same reaction mixtures through ELISA.Overall, the results show that the alkali assay is suitable to screen for molecules that interfere with aromatase activity. As a consequence it can also be applied to other molecular targets of EDCs that use NAD(P)H for catalysis in a high throughput format for the fast screening of many different compounds as endocrine disrupting chemicals.http://dx.doi.org/10.1016/j.bbapap.2017.05.013 - 2017

DNA forms not only the canonical duplex structure but also non-canonical structures. Most potential sequences that induce the formation of non-canonical structures are present in disease-related genes. Interestingly, biological reactions are inhibited or dysregulated by non-canonical structure formation in disease-related genes. To control biological reactions, methods for inducing the formation of non- canonical structures have been developed using small molecules and oligonucleotides. In this feature article, we review biological reactions such as replication, transcription, and reverse transcription controlled by non-canonical DNA structures formed by disease-related genes. Furthermore, we discuss recent studies aimed at developing methods for regulating these biological reactions using drugs targeting the DNA structure.DOI: 10.1039/c9cc09771f - 2020

The methods section of a research paper provides the information by which a study’s validity is judged. Therefore, it requires a clear and precise description of how an experiment was done, and the rationale for why specific experimental procedures were chosen. The methods section should describe what was done to answer the research question, describe how it was done, justify the experimental design, and explain how the results were analyzed. Scientific writing is direct and orderly. Therefore, the methods section structure should: describe the materials used in the study, explain how the materials were prepared for the study, describe the research protocol, explain how measurements were made and what calculations were performed, and state which statistical tests were done to analyze the data. Once all elements of the methods section are written, subsequent drafts should focus on how to present those elements as clearly and logically as possibly. The description of preparations, measurements, and the protocol should be organized chronologically. For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic. Material in each section should be organized by topic from most to least important.49 (10) 1229-1232; - 2004

“Junk DNA” is a popular yet controversial concept that states that organisms carry in their genomes DNA that has no positive impact on their fitness. Nonetheless, biochemical functions have been identified for an increasing fraction of DNA elements traditionally seen as “Junk DNA”. These findings have been interpreted as fundamentally undermining the “Junk DNA” concept. Here, we reinforce previous arguments that this interpretation relies on an inadequate concept of biological function that does not consider the selected effect of a given genomic structure, which is central to the “Junk DNA” concept. Next, we suggest that another (though ignored) confounding factor is that the discussion about biological functions includes two different dimensions: a horizontal, ecological dimension that reflects how a given genomic element affects fitness in a specific time, and a vertical, temporal dimension that reflects how a given genomic element persisted along time. We suggest that “Junk DNA” should be used exclusively relative to the horizontal dimension, while for the vertical dimension, we propose a new term, “Spam DNA”, that reflects the fact that a given genomic element may persist in the genome even if not selected for on their origin. Importantly, these concepts are complementary. An element can be both “Spam DNA” and “Junk DNA”, and “Spam DNA” can also be recruited to perform evolved biological functions, as illustrated in processes of exaptation or constructive neutral evolution.https://doi.org/10.1093/gbe/evac055 - 2022

Clinical workflows in oncology rely on predictive and prognostic molecular biomarkers. However, the growing number of these complex biomarkers tends to increase the cost and time for decision-making in routine daily oncology practice; furthermore, biomarkers often require tumour tissue on top of routine diagnostic material. Nevertheless, routinely available tumour tissue contains an abundance of clinically relevant information that is currently not fully exploited. Advances in deep learning (DL), an artificial intelligence (AI) technology, have enabled the extraction of previously hidden information directly from routine histology images of cancer, providing potentially clinically useful information. Here, we outline emerging concepts of how DL can extract biomarkers directly from histology images and summarise studies of basic and advanced image analysis for cancer histology. Basic image analysis tasks include detection, grading and subtyping of tumour tissue in histology images; they are aimed at automating pathology workflows and consequently do not immediately translate into clinical decisions. Exceeding such basic approaches, DL has also been used for advanced image analysis tasks, which have the potential of directly affecting clinical decision-making processes. These advanced approaches include inference of molecular features, prediction of survival and end-to-end prediction of therapy response. Predictions made by such DL systems could simplify and enrich clinical decision-making, but require rigorous external validation in clinical settings.https://doi.org/10.1038/s41416-020-01122-x - 2020

We have compared structures of 78 proteins determined by both NMR and X-ray methods. It is shown that X-ray and NMR structures of the same protein have more differences than various X-ray structures obtained for the protein, and even more than various NMR structures of the protein. X-ray and NMR structures of 18 of these 78 proteins have obvious large-scale structural differences that seem to reflect a difference of crystal and solution structures. The other 60 pairs of structures have only small-scale differences comparable with differences between various X-ray or various NMR structures of a protein; we have analyzed these structures more attentively. One of the main differences between NMR and X-ray structures concerns the number of contacts per residue: NMR structures presented in PDB have more contacts than X-ray structures at distances below 3.0 Å and 4.5– 6.5 Å, and fewer contacts at distances of 3.0 – 4.5 Å and 6.5–8.0 Å; this difference in the number of contacts is greater for internal residues than for external ones, and it is larger for -containing proteins than for all proteins. Another significant difference is that the main-chain hydrogen bonds identified in X-ray and NMR structures often differ. Their correlation is 69% only. However, analogous difference is found for refined and rerefined NMR structures, allowing us to suggest that the observed difference in interresidue contacts of X-ray and NMR structures of the same proteins is due mainly to a difference in mathematical treatment of experimental results.DOI: 10.1002/prot.20491 - 2005

IL-9 was first described in the late 1980s as a member of a growing number of cytokines that had pleiotropic functions in the immune system. Although many biological functions have been attributed to IL-9, it remains an understudied cytokine. A resurgence of interest in IL-9 has been spurred by recent work demonstrating a role for IL-9 in regulating inflammatory immunity and defining the transcription factors that activate the Il9 gene in cells that most efficiently produce IL-9. In this review, we summarize the characterization of IL-9 biological activities, highlight roles for the cytokine that are clearly defined, and outline questions regarding IL-9 functions that still require further exploration.www.jimmunol.org/cgi/doi/10.4049/jimmunol.1003049 - 2011

The May 2012 Sackler Colloquium on “The Science of Science Communication” brought together scientists with research to communicate and scientists whose research could facilitate that communication. The latter include decision scientists who can identify the scientific results that an audience needs to know, from among all of the scientific results that it would be nice to know; behavioral scientists who can design ways to convey those results and then evaluate the success of those attempts; and social scientists who can create the channels needed for trustworthy communications. This overview offers an introduction to these communication sciences and their roles in science-based communication programs.

This article provides working definitions and a conceptual framework to understand the roles of biomarkers in clinical research. The definitions of the terms discussed in this article—medical signs, symptoms, biomarkers, surrogate endpoints, clinical endpoints, validation—are still under discussion, as are their relationships to each other, but broad consensus has developed in the past decade and a half about the necessity of distinguishing between, in particular, surrogate and clinical endpoints.doi:10.1097/COH.0b013e32833ed177. - 2010

Aberrant gene function and altered patterns of gene expression are key features of cancer. Growing evidence shows that acquired epigenetic abnormalities participate with genetic alterations to cause this dysregulation. Here, we review recent advances in understanding how epigenetic alterations participate in the earliest stages of neoplasia, including stem/ precursor cell contributions, and discuss the growing implications of these advances for strategies to control cancer.DOI 10.1016/j.cell.2007.01.029 -2007

Mutations in non-coding regulatory DNA sequences can alter gene expression, organismal phenotype and fitness1–3. Constructing complete fitness landscapes, in which DNA sequences are mapped to fitness, is a long-standing goal in biology, but has remained elusive because it is challenging to generalize reliably to vast sequence spaces4–6. Here we build sequence-to-expression models that capture fitness landscapes and use them to decipher principles of regulatory evolution. Using millions of randomly sampled promoter DNA sequences and their measured expression levels in the yeast Saccharomyces cerevisiae, we learn deep neural network models that generalize with excellent prediction performance, and enable sequence design for expression engineering. Using our models, we study expression divergence under genetic drift and strong-selection weak-mutation regimes to find that regulatory evolution is rapid and subject to diminishing returns epistasis; that conflicting expression objectives in different environments constrain expression adaptation; and that stabilizing selection on gene expression leads to the moderation of regulatory complexity. We present an approach for using such models to detect signatures of selection on expression from natural variation in regulatory sequences and use it to discover an instance of convergent regulatory evolution. We assess mutational robustness, finding that regulatory mutation effect sizes follow a power law, characterize regulatory evolvability, visualize promoter fitness landscapes, discover evolvability archetypes and illustrate the mutational robustness of natural regulatory sequence populations. Our work provides a general framework for designing regulatory sequences and addressing fundamental questions in regulatory evolution.https://doi.org/10.1038/s41586-022-04506-6 - 2022

In the United States, lung cancer is the second most common diagnosed cancer and the leading cause of cancer-related death. Although tobacco smoking is the major risk factor accounting for 80% to 90% of all lung cancer diagnoses, there are numerous other risk factors that have been identified as casually associated with lung cancer etiology. However, there are few causally linked risk factors for lung cancer diagnosed among never smokers, which, if considered a unique reportable category, is the 11th most common cancer and the 7th leading cause of cancer-related death. Lung cancer survival has only marginally improved over the last several decades, but the availability of screening and early detection by low-dose CT and advances in targeted treatments and immunotherapy will likely decrease mortality rates and improve patient survival outcomes in the near future.doi: 10.1158/1055-9965.EPI-19-0221 - 2019

Randomisation is the process of assigning clinical trial participants to treatment groups. Randomisation gives each participant a known (usually equal) chance of being assigned to any of the groups. Successful randomisation requires that group assignment cannot be predicted in advance.DOI: 10.5694/j.1326-5377.2002.tb04955.x - 2002

Reconfigurable structures engineered through DNA hybridization and self-assembly offer both structural and dynamic applications in nanotechnology. Here, we have demonstrated that strand displacement of triplex-forming oligonucleotides (TFOs) can be translated to a robust macroscopic DNA crystal by coloring the crystals with covalently attached fluorescent dyes. We show that three different types of triplex strand displacement are feasible within the DNA crystals and the bound TFOs can be removed and/or replaced by (a) changing the pH from 5 to 7, (b) the addition of the Watson–Crick complement to a TFO containing a short toehold, and (c) the addition of a longer TFO that uses the duplex edge as a toehold. We have also proved by X-ray diffraction that the structure of the crystals remains as designed in the presence of the TFOs.https://doi.org/10.1021/jacs.2c12667 - 2023

DNA comprises molecular information stored in genetic and epigenetic bases, both of which are vital to our understanding of biology. Most DNA sequencing approaches address either genetics or epigenetics and thus capture incomplete information. Methods widely used to detect epigenetic DNA bases fail to capture common C-to-T mutations or distinguish 5-methylcytosine from 5-hydroxymethylcytosine. We present a single base-resolution sequencing methodology that sequences complete genetics and the two most common cytosine modifications in a single workflow. DNA is copied and bases are enzymatically converted. Coupled decoding of bases across the original and copy strand provides a phased digital readout. Methods are demonstrated on human genomic DNA and cell-free DNA from a blood sample of a patient with cancer. The approach is accurate, requires low DNA input and has a simple workflow and analysis pipeline. Simultaneous, phased reading of genetic and epigenetic bases provides a more complete picture of the information stored in genomes and has applications throughout biomedicine.https://doi.org/10.1038/s41587-022-01652-0 - 2022

We used extensive molecular dynamics simulations to study the structural and dynamic properties of the central d(TpA) step in the highly polymorphic d(CpTpApG) tetranucleotide. Contrary to the assumption of the dinucleotide model and its nearest neighbours (tetranucleotide-model), the properties of the central d(TpA) step change quite significantly dependent on the next-to-nearest (hexanucleotide) sequence context and in a few cases are modulated by even remote neighbours (beyond next-to-nearest from the central TpA). Our results highlight the existence of previously undescribed dynamical mechanisms for the transmission of structural information into the DNA and demonstrate the existence of certain sequences with special physical properties that can impact on the global DNA structure and dynamics.

Telomerase is an RNA–protein complex comprising telomerase reverse transcriptase, a non-coding telomerase RNA, and proteins involved in biogenesis, assembly, localization, or recruitment. Telomerase synthesizes the telomeric DNA at the 30-ends of linear chromosomes. During the past decade, structural studies have defined the architecture of Tetrahymena and human telomerase as well as protein and RNA domain structures, but high-resolution details of interactions remained largely elusive. In the past two years, several sub-4 Å cryo-electron microscopy structures of telomerase were published, including Tetrahymena telomerase at different steps of telomere repeat addition and human telomerase with telomere shelterin proteins that recruit telomerase to telomeres. These and other recent structural studies have expanded our understanding of telomerase assembly, mechanism, recruitment, and mutations leading to disease.https://doi.org/10.1016/j.sbi.2022.102446 - 2022

The Covid-19 pandemic disrupted many clinical trials that were potentially bringing new therapeutics to market—an additional untallied cost of the pandemic in lives and quality of life owing to delays in releasing potentially beneficial therapeutics to patients in need. A separate side effect of the pandemic has been swift adoption of virtual interactions between physicians and patients to provide continuity of care while maintaining social distancing. This comes at a time of rapid advancement of technology permitting those interactions, such as enhanced internet connectivity, electronic health records, real-time video conferencing, smartphone health applications, and remotely connectable health monitoring devices that are becoming both more accurate, practical, and affordable. Interest in decentralized clinical trials (DCTs) that use “virtual elements” like these has grown in parallel with acceptance of “virtual medicine,” accelerating shifts in clinical trial design that many feel are long overdue.https://doi.org/10.1016/j.jacbts.2021.01.011 - 2021