Biology subjects

Chen, S.

Publications and source records attributed to Chen, S..

At least 973 records · Page 54Linked to original sources

bioRxiv2019

Programmable patterns in a DNA-based reaction-diffusion system

Biology offers compelling proof that macroscopic "living materials" can emerge from reactions between diffusing biomolecules. Here, we show that molecular self-organization could be a similarly powerful approach for engineering functional synthetic materials. We introduce a programmable DNA-hydrogel that produces tunable patterns at the centimeter length scale. We generate these patterns by implementing chemical reaction networks through synthetic DNA complexes, embedding the complexes in hydrogel, and triggering with locally applied input DNA strands. We first demonstrate ring pattern formation around a circular input cavity and show that the ring width and intensity can be predictably tuned. Then, we create patterns of increasing complexity, including concentric rings and non-isotropic patterns. Finally, we show "destructive" and "constructive" interference patterns, by combining several ring-forming modules in the gel and triggering them from multiple sources. We further show that computer simulations based on the reaction-diffusion model can predict and inform the programming of target patterns.

synthetic biology↗

bioRxiv2019

MISTERMINATE Mechanistically Links Mitochondrial Dysfunction with Proteostasis Failure

Mitochondrial dysfunction and proteostasis failure frequently coexist as hallmarks of neurodegenerative disease. How these pathologies are related is not well understood. Here we describe a phenomenon termed MISTERMINATE (mitochondrial stress-induced translational termination impairment and protein carboxyl terminal extension), which mechanistically links mitochondrial dysfunction with proteostasis failure. We show that mitochondrial dysfunction impairs translational termination of nuclear-encoded mitochondrial mRNAs including complex-I 30kD subunit (C-I30) mRNA, occurring on mitochondrial surface in Drosophila and mammalian cells. Ribosomes stalled at the normal stop codon continue to add to the C-terminus of C-I30 certain amino acids non-coded by mRNA template. C-terminally-extended C-I30 is toxic when assembled into C-I and forms aggregates in the cytosol. Enhancing co-translational quality control prevents C-I30 C-terminal extension and rescues mitochondrial and neuromuscular degeneration in a Parkinsons disease model. These findings emphasize the importance of efficient translation termination and reveal unexpected link between mitochondrial health and proteome homeostasis mediated by MISTERMINATE.

cell biology↗

bioRxiv2019

Impacts of diets fed after weaning on gut microbiota and susceptibility to DSS-induced colitis in mice

BackgroundLiving in a sanitary environment and taking Western-style diet in early life are both risk factors for inflammatory bowel disease and important factors for shaping host gut microbiota. Here, we aimed to establish whether different dietary composition fed during the early period after weaning would associate the susceptibility to DSS-induced colitis with different gut microbiota shifts. MethodsEighty weaned Balb/c mice were fed with high sugar, fat, protein, fiber, and standard diet for 8weeks respectively. Inflammation was induced by administration of 2.5% (wt/vol) dextran sulfate sodium (DSS) in drinking water for 7 days, and the microbiota characterized by 16s rRNA based pyrosequencing. Analyzed the inflammatory factors and toll-like receptors by Real-time PCR ResultsThe high protein and high fiber+protein group exacerbated severity of DSS-induced colitis, the high fiber and high protein+fiber groups had the effect of reducing colitis, and the high sugar, fat and standard group show the similar disease phenotype of colitis. The diversity and richness of the microflora were significantly decreased in the high fiber group, while only decreased richness of flora was observed in the high protein group. The abundance of Firmicutes was decreased and the abundance of Bacteroides was increased in the high fat, high sugar, high protein and high fiber groups, especially in the high protein and high fiber group. The microbial community structure was slightly different at the species/genus level. The microbial community structure of high protein-fiber group and high fiber-protein group was still similar. ConclusionsMice were fed with different dietary compositions of high sugar, fat, protein and fiber diets since weaning, and similar gut microbiota of high-abundance Bacteroides and low-abundance Firmicutes are formed in adult mice. These microbiota do not cause colonic mucosal damage directly. Only high protein diet aggravated DSS-induced colitis, while high fiber diet alleviated the colitis.

microbiology↗

bioRxiv2019

Brain-derived circulating cell-free DNA defines the brain region and cell specific origins associated with neuronal atrophy

Liquid biopsies are revolutionizing the fields of prenatal non-invasive testing and cancer diagnosis by leveraging the genetic differences between mother and fetus, and, host and cancer. In the absence of genetic variance, epigenetics has been used to decipher the cell-of-origin of cell-free DNA (cfDNA). Liquid biopsies are minimally invasive and thus represent an attractive option for hard to biopsy tissues such as the brain. Here we report the first evidence of neuron derived cfDNA and cerebellum cfDNA within acute neurotrauma and chronic neurodegeneration, establishing the first class of peripheral biomarkers with specificity for the cell-type and brain-region undergoing potential injury and/or neurodegeneration.

genomics↗

bioRxiv2019

VPAC: Variational projection for accurate clustering of single-cell transcriptomic data

BackgroundSingle-cell RNA-sequencing (scRNA-seq) technologies have advanced rapidly in recent years and enabled the quantitative characterization at a microscopic resolution. With the exponential growth of the number of cells profiled in individual scRNA-seq experiments, the demand for identifying putative cell types from the data has become a great challenge that appeals for novel computational methods. Although a variety of algorithms have recently been proposed for single-cell clustering, such limitations as low accuracy, inferior robustness, and inadequate stability greatly impede the scope of applications of these methods.\n\nResultsWe propose a novel model-based algorithm, named VPAC, for accurate clustering of single-cell transcriptomic data through variational projection, which assumes that single-cell samples follow a Gaussian mixture distribution in a latent space. Through comprehensive validation experiments, we demonstrate that VPAC can not only be applied to datasets of discrete counts and normalized continuous data, but also scale up well to various data dimensionality, different dataset size and different data sparsity. We further illustrate the ability of VPAC to detect genes with strong unique signatures of a specific cell type, which may shed light on the studies in system biology. We have released a user-friendly python package of VPAC in Github (https://github.com/ShengquanChen/VPAC). Users can directly import our VPAC class and conduct clustering without tedious installation of dependency packages.\n\nConclusionsVPAC enables highly accurate clustering of single-cell transcriptomic data via a statistical model. We expect to see wide applications of our method to not only transcriptome studies for fully understanding the cell identity and functionality, but also the clustering of more general data.

bioinformatics↗

bioRxiv2019

Direct synthesis of EM-visible gold nanoparticles on genetically encoded tags for single-molecule visualization in cells

Single-molecule visualization in cells with genetically encoded tags for electron microscopy (EM) has been a long-awaited but unimplemented tool for cell biologists. Here, we report an approach for directly synthesizing EM-visible gold nanoparticles (AuNPs) on cysteine-rich tags for single-molecule visualization in cells. We first uncovered an auto-nucleation suppression mechanism that allows specific synthesis of AuNPs on isolated cysteine-rich tags. We next exploited this mechanism to develop an approach for single-molecule detection of proteins in prokaryotic cells and achieved an unprecedented labeling efficiency. We then expanded it to more complicated eukaryotic cells and successfully detected the proteins targeted to various organelles, including the membranes of endoplasmic reticulum (ER) and nuclear envelope, ER lumen, nuclear pores, spindle pole bodies, and mitochondrial matrix. Thus, our implementation of genetically encoded tags for EM should allow cell biologists to address an enormous range of biological questions at single-molecule level in diverse cellular ultrastructural contexts without using antibodies.

biophysics↗

bioRxiv2019

Fungal Communities in Soybean Cyst Nematode-Infested Soil under Long Term Corn and Soybean Monoculture and Crop Rotation

Corn (Zea mays) and soybean (Glycine max) production forms an integral part of economies worldwide, but yields are limited by biotic and abiotic factors associated with short rotations and long-term monocultures. In this study, a long-term rotation study site with corn and soybean planted in annual rotation, five-year rotation, and long-term monoculture was utilized to examine the relationships between crop sequences, soil fungal communities, soybean cyst nematode (SCN, Heterodera glycines) densities, soil properties, and crop yields. High throughput sequencing of the ITS1 region of fungal rDNA revealed that soil fungal community structure varied significantly by crop sequence, with fungal communities under five consecutive years of monoculture becoming progressively similar to communities in long-term monoculture plots associated with their respective crop hosts. Total alpha diversity was greater under corn, but patterns of diversity and relative abundance of specific functional groups differed by crop host, with more pathotrophs proliferating under soybean and more saprotrophs and symbiotrophs proliferating under corn. Soil phosphorus (P) varied significantly by crop sequence, with lower levels of P corresponding with relative abundance of Glomerales, Paraglomerales, and Sebacinales and higher levels of P corresponding with relative abundance of Mortierellales. Soil density of the SCN was positively correlated with relative abundance and diversity of nematode-trapping fungi and with relative abundance of many potential nematode egg parasites. These results suggest several possible explanations for the improved yields associated with crop rotation, including decreased pathogen pressure, modification of soil properties, and increased diversity of soil fungal communities. Future research should investigate the potential of nematode-trapping fungi to regulate SCN densities and examine the relationships between soil P and specific arbuscular mycorrhizal and mortierellalean fungi associated with corn and soybean hosts.

bioinformatics↗

bioRxiv2019

An improved control efficacy against tobacco bacterial wilt by an engineered Pseudomonas mosselii expressing the ripAA gene from phytopathogenic Ralstonia solanacearum

The environmental bacterium Pseudomonas mosselii produces antagonistic secondary metabolites with inhibitory effects on multiple plant pathogens, including Ralstonia solanacearum, the causal agent of bacterial wilt. In this study, an engineered P. mosselii strain was generated to express R. solanacearum ripAA, which determines incompatible interactions with tobacco plants. The ripAA gene together with its native promoter was integrated into the P. mosselii chromosome. The resulting strain showed no difference in antimicrobial activity against R. solanacearum. Promoter-LacZ fusion and RT-PCR experiments demonstrated that the ripAA gene was transcribed in culture media. Compared with that of the wild type, the engineered strain reduced the disease index by 9.1% for bacterial wilt on tobacco plants. A transcriptome analysis was performed to identify differentially expressed genes in tobacco plants, and the results revealed that ethylene-and jasmonate-dependent defense signaling pathways were induced. These data demonstrated that the engineered P. mosselii expressing ripAA enables improved biological control against tobacco bacterial wilt by the activation of host defense responses.\n\nImportanceNowadays, the use of biocontrol agents is more and more popular in agriculture, but they cannot replaced of chemical agents mostly, due to the poorer control effect. So the study about how to improve the efficacy of biocontrol agents become necessary and urgent. We increase the efficacy against plant pathogen through introducing an avirulence gene from plant pathogen into the biocontrol agent based on \"gene to gene\" hypothesis. The new engineered strain can improve the systemic resistance and elicit primary immune response of plants. Our research not only provides a new strategy for genetic modification of biocontrol agent, a number of avirulence gene from pathogen or plant can be tested to be expressed in different biocontrol agents to antagonize plant disease, but also help the study of interaction between phythopathogenic avirulence gene and host.

microbiology↗

bioRxiv2019

Carbohydrate, glutathione, and polyamine metabolism are central to Aspergillus flavus oxidative stress responses over time

The primary and secondary metabolites of fungi are critical for adaptation to environmental stresses, host pathogenicity, competition with other microbes, and reproductive fitness. Drought-derived reactive oxygen species (ROS) have been shown to stimulate aflatoxin production and regulate development in Aspergillus flavus, and may function in signaling with host plants. Here, we have performed global, untargeted metabolomics to better understand the role of aflatoxin production in oxidative stress responses, and also explore isolate-specific oxidative stress responses over time. Two field isolates of A. flavus, AF13 and NRRL3357, possessing high and moderate aflatoxin production, respectively, were cultured in medium with and without supplementation with 15mM H2O2, and mycelia were collected following 4 and 7 days in culture for global metabolomics. Overall, 389 compounds were described in the analysis which were examined for differential accumulation. Significant differences were observed in both isolates in response to oxidative stress and when comparing sampling time points. The moderate aflatoxin-producing isolate, NRRL3357, showed extensive stimulation of antioxidant mechanisms and pathways including polyamines metabolism, glutathione metabolism, TCA cycle, and lipid metabolism while the highly aflatoxigenic isolate, AF13, showed a less vigorous response to stress. Carbohydrate pathway levels also imply that carbohydrate repression and starvation may influence metabolite accumulation at the later timepoint. Higher conidial oxidative stress tolerance and antioxidant capacity in AF13 compared to NRRL3357, inferred from their metabolomic profiles and growth curves over time, may be connected to aflatoxin production capability and aflatoxin-related antioxidant accumulation. The coincidence of several of the detected metabolites in H2O2-stressed A. flavus and drought-stressed hosts suggests their potential role in the interaction between these organisms and their use as markers/targets to enhance host resistance through biomarker selection or genetic engineering.\n\nAuthor SummaryAspergillus flavus is a fungal pathogen of several important crops including maize and peanut. This pathogen produces carcinogenic mycotoxins known as aflatoxins during infection of plant materials, and is particularly severe under drought stress conditions. This results in significant losses in crop value and poses a threat to food safety and security globally. To combat this, understanding how this fungus responds to environmental stresses related to drought can allow us to identify novel methods of mitigating aflatoxin contamination. Here, we analyzed the accumulation of a broad series of metabolites over time in two isolates of A. flavus with differing stress tolerance and aflatoxin production capabilities in response to drought-related oxidative stress. We identified several metabolites and mechanisms in A. flavus which allow it to cope with environmental oxidative stress and may influence aflatoxin production and fungal growth. These may serve as potential targets for selection in breeding programs for the development of new cultivars, or for alteration using genetic engineering approaches to mitigate excessive aflatoxin contamination under drought stress.

microbiology↗

bioRxiv2018

gencore: an efficient tool to generate consensus reads for error suppressing and duplicate removing of NGS data

BackgroundRemoving duplicates might be considered as a well-resolved problem in next-generation sequencing (NGS) data processing domain. However, as NGS technology gains more recognition in clinical applications (i.e. cancer testing), researchers start to pay more attention to its sequencing errors, and prefer to remove these errors while performing deduplication operations. Recently, a new technology called unique molecular identifier (UMI) has been developed to better identify sequencing reads derived from different DNA fragments. Most existing duplicate removing tools cannot handle the UMI-integrated data. Some modern tools can work with UMIs, but are usually slow and use too much memory, making them not suitable for cloud-based deployment. Furthermore, existing tools rarely report rich statistical results, which are very important for quality control and downstream analysis. These unmet requirements drove us to develop an ultra-fast, simple, little-weighted but powerful tool for duplicate removing and sequence error suppressing, with features of handling UMIs and reporting informative results.\n\nResultsThis paper presents an efficient tool gencore for duplicate removing and sequence error suppressing of NGS data. This tool clusters the mapped sequencing reads and merges reads in each cluster to generate one single consensus read. While the consensus read is generated, the random errors introduced by library construction and sequencing can be removed. This error-suppressing feature makes gencore very suitable for the application of detecting ultra-low frequency mutations from deep sequencing data. When unique molecular identifier (UMI) technology is applied, gencore can use them to identify the reads derived from same original DNA fragment. gencore reports statistical results in both HTML and JSON formats. The HTML format report contains many interactive figures plotting statistical coverage and duplication information. The JSON format report contains all the statistical results, and is interpretable for downstream programs.\n\nConclusionsComparing to the conventional tools like Picard and SAMtools, gencore greatly reduces the output datas mapping mismatches, which are mostly caused by errors. Comparing to some new tools like UMI-Reducer and UMI-tools, gencore runs much faster, uses less memory, generates better consensus reads and provides simpler interfaces. To our best knowledge, gencore is the only duplicate removing tool that generates both informative HTML and JSON reports. This tool is available at: https://github.com/OpenGene/gencore

bioinformatics↗

bioRxiv2018

Nanoporous Boron Nitride for High Efficient Water Desalination

Membrane filtration processes for water desalination have been greatly improved thanks to rapid development of nanoporous 2-dimentional (2D) materials. Nanoporous graphene and molybdenum disulfide have proved to show promising properties for desalination. In this study, we detailly investigated the desalination performance of a different nanoporous 2D material, nanoporous boron nitride (BN), by Molecular Dynamics simulation. Our calculations demonstrated that nanoporous BN allows for rapid water permeability with effective salt rejection. The permeability is not only two orders of magnitude higher than existing commercial techniques but also much higher than nanoporous graphene and molybdenum disulfide membranes. We further showed that the pores with B-h edges or with N-h edges present different desalination efficiency. Compared to N-h pores, B-h pores have better desalination performance in term of higher water flux. To the best of our knowledge, nanoporous BN is the 2D material having the highest water permeability thus far while maintaining high salt rejection. Overall, our results shed light on the potential

biophysics↗

bioRxiv2018

Estimating driver-tissues by robust selective expression of genes associated with complex diseases or traits

The driver tissues or cell-types of many human diseases, in which susceptibility genes cause the diseases, remain elusive. We developed a framework to detect the causal-tissues of complex diseases or traits according to selective expression of disease-associated genes in genome-wide association study (GWAS). The core method of the framework is a new robust z-score to estimate genes expression selectivity. Through extensive computing simulations and comparative analyses in a large-scale schizophrenia GWAS, we demonstrate the robust z-score is more sensitive than existing methods to detect multiple selectively expressed tissues, which further lead to the estimation of more biological sensible driver tissues. The effectiveness of this framework is further validated in five representative complex diseases with the usage of GWAS summary statistics and transcript-level expression in GTEx project. Finally, we also demonstrate that the prioritized tissues and the robust selective expression can enhance characterization of directly associated genes of a disease as well. Interesting results include the estimation of lung as a driver tissue of rheumatoid arthritis, consistent with clinical observations of morbidity between rheumatoid arthritis and lung diseases.

genetics↗

bioRxiv2018

A VTA GABAergic neural circuit mediates visually evoked innate defensive responses

Innate defensive responses are essential for animal survival and are conserved across species. The ventral tegmental area (VTA) plays important roles in learned appetitive and aversive behaviors, but whether it plays a role in mediating or modulating innate defensive responses is currently unknown. We report that GABAergic neurons in the mouse VTA (VTAGABA+) are preferentially activated compared to VTA dopaminergic (VTADA+) neurons when a threatening visual stimulus evokes innate defensive behavior. Functional manipulation of these neurons showed that activation of VTAGABA+ neurons is indispensable for looming-evoked defensive flight behavior and photoactivation of these neurons is sufficient for looming-evoked defensive-like flight behavior, whereas no such role can be attributed for VTADA+ neurons. Viral tracing and in vivo and in vitro electrophysiological recordings showed that VTAGABA+ neurons receive direct excitatory inputs from the superior colliculus (SC). Furthermore, we showed that glutamatergic SC-VTA projections synapse onto VTAGABA+ neurons that project to the central nucleus of the amygdala (CeA) and that the CeA is involved in mediating the defensive behavior. Our findings demonstrate that visual information about aerial threats access to the VTAGABA+ neurons mediating innate behavioral responses, suggesting a more general role for the VTA.

neuroscience↗

bioRxiv2018

Biosynthetic intermediates of the enterobacterial common antigen overcome outer membrane lipid dyshomeostasis in Escherichia coli

The outer membrane (OM) is an essential component of the Gram-negative bacterial envelope that protects cells against external threats. To maintain a functional OM, cells require distinct mechanisms to ensure balance of proteins and lipids in the membrane. Mutations in OM biogenesis and/or homeostasis pathways often result in permeability defects, but how molecular changes in the OM affect barrier function is unclear. Here, we seek potential mechanism(s) that can alleviate permeability defects in Escherichia coli cells lacking the Tol-Pal complex, which accumulate excess PLs in the OM. We identify mutations in enterobacterial common antigen (ECA) biosynthesis that re-establish OM barrier function against large hydrophilic molecules, yet did not restore lipid homeostasis. Furthermore, we demonstrate that build-up of biosynthetic intermediates, but not loss of ECA itself, contributes to the rescue. This suppression of OM phenotypes is unrelated to known effects that accumulation of ECA intermediates have on the cell wall. Finally, we reveal that an unusual diacylglycerol pyrophosphoryl-linked lipid species also accumulates in ECA mutants, and might play a role in the rescue phenotype. Our work provides insights into how OM barrier function can be restored independent of lipid homeostasis, and highlights previously unappreciated effects of ECA-related species in OM biology.

microbiology↗

bioRxiv2018

ACAT: A Fast and Powerful P-value Combination Method for Rare-variant Analysis in Sequencing Studies

Set-based analysis that jointly tests the association of variants in a group has emerged as a popular tool for analyzing rare and low-frequency variants in sequencing studies. The existing set-based tests can suffer significant power loss when only a small proportion of variants are causal, and their powers can be sensitive to the number, effect sizes and effect directions of the causal variants and the choices of weights. Here we propose an Aggregated Cauchy Association Test (ACAT), a general, powerful and computationally efficient p-value combination method to boost power in sequencing studies. First, by combining variant-level p-values, we use ACAT to construct a set-based test (ACAT-V) that is particularly powerful in the presence of only a small number of casual variants in a variant set. Second, by combining different variant set-level p-values, we use ACAT to construct an omnibus test (ACAT-O) that combines the strength of multiple complimentary set-based tests including the burden test, Sequence Kernel Association Test (SKAT) and ACAT-V. Through analysis of extensively simulated data and the whole-genome sequencing data from the Atherosclerosis Risk in Communities (ARIC) study, we demonstrate that ACAT-V complements the SKAT and burden test, and that ACAT-O has a substantially more robust and higher power than the alternative tests.

genetics↗

bioRxiv2018

A systems-level analysis highlights microglial activation as a modifying factor in common forms of human epilepsy

The common human epilepsies are associated with distinct patterns of reduced cortical thickness, detectable on neuroimaging, with important clinical consequences. To explore underlying mechanisms, we layered MRI-based cortical structural maps from a large-scale epilepsy neuroimaging study onto highly spatially-resolved human brain gene expression data, identifying >2,500 genes overexpressed in regions of reduced cortical thickness, compared to relatively-protected regions. The resulting set of differentially-expressed genes shows enrichment for microglial markers, and in particular, activated microglial states. Parallel analyses of cell-specific eQTLs show enrichment in human genetic signatures of epilepsy severity, but not epilepsy causation. Post mortem brain tissue from humans with epilepsy shows excess activated microglia. In an experimental model, depletion of activated microglia prevents cortical thinning, but not the development of chronic seizures. These convergent data strongly implicate activated microglia in cortical thinning, representing a new dimension for concern and disease modification in the epilepsies, potentially distinct from seizure control.

neuroscience↗

bioRxiv2018

Amino Acids Changes and Muscle Damage During the 400 km Ultra Trail Gobi Race

Current researches demonstrated that completing the Ultra Trail Gobi (UTG) could lead to severe muscle damage. Our study was designed to analysis the muscle damage and amino acid changes reacted to a 400 km ultra-endurance race in experienced runners. Peripheral blood samples from 16 male athletes (mean age 40.3 {+/-} 7.0 years, mean finish time 121.2 {+/-} 21.8 hours), taken 48 h before and immediately after completing the Ultra Trail Gobi Race (UTG), were analyzed for 39 amino acids, 15 steroid hormones and 4 muscle damage factors. In all participants, the 4 biomarkers for muscle damage, i.e., creatine kinase (CK), aspartate aminotransferase (AST), alanine aminotransferase (ALT) and lactate dehydrogenase (LDH) increased significantly after the race, whose mean post-race values were 13.7-, 7.3-, 4.7- and 1.5-fold higher than the pre-race values, respectively. 5 amino acids, i.e., alanine, valine, proline, ornithine and citrulline showed significant decrease, whose mean values decreased by 40.4 {+/-} 18.7%, 38.9 {+/-} 9.3%, 48.1 {+/-} 15.2%, 44.8 {+/-} 15.1% and 23.4 {+/-} 30.8% after the race, respectively. Our study revealed that progressive decline in amino acids contents may further contribute to the factors increasing the muscle damage during the UTG.

physiology↗

bioRxiv2018

Architectural principles for Hfq/Crc-mediated regulation of gene expression

The global regulator Hfq facilitates the action of regulatory RNAs in post-transcription gene regulation in many Gram-negative bacteria. In Pseudomonas aeruginosa, Hfq, in conjunction with the catabolite repression protein Crc, was shown to form a complex that directly inhibits translation of target transcripts during carbon catabolite repression. Here, we describe and validate high-resolution cryo-EM structures of the cooperative assembly of Hfq and Crc bound to a translation initiation site. The core assembly is formed through interactions of two cognate RNAs, two Hfq hexamers and a Crc pair. Additional Crc protomers can be recruited to form higher-order assemblies with demonstrated in vivo activity. The structures indicate a distinctive RNA conformation and a pattern of repeating motifs that confer regulatory function. This study not only reveals for the first time how Hfq cooperates with a partner protein to regulate translation but also provides a novel structural basis to explain how an RNA code can guide global regulators to interact cooperatively and regulate many different RNA targets.

biophysics↗