Deep learning offers new approaches to investigate the mechanisms underlying complex biological phenomena, such as subgenome dominance. Subgenome dominance refers to the dominant expression and/or biased fractionation of genes in one subgenome of allopolyploids, which has shaped the evolution of a large group of plants. However, the underlying cause of subgenome dominance remains elusive. Here, we adopt deep learning to construct two convolutional neural network (CNN) models, binary expression model (BEM) and homoeolog contrast model (HCM), to investigate the mechanism underlying subgenome dominance using DNA sequence and methylation sites. We apply these CNN models to analyze three representative polyploidization systems, Brassica, Gossypium, and Cucurbitaceae, each with available ancient and neo/synthetic polyploidized genomes. The BEM shows that DNA sequence of the promoter region can accurately predict whether a gene is expressed or not. More importantly, the HCM shows that the DNA sequence of the promoter region predicts dominant expression status between homoeologous gene pairs retained from ancient polyploidizations, thus predicting subgenome dominance associated with these events. However, HCM fails to predict gene expression dominance between new homoeologous gene pairs arising from the neo/synthetic polyploidizations. These results are consistent across the three plant polyploidization systems, indicating broad applicability of our models. Furthermore, the two models based on methylation sites produce similar results. These results show that subgenome dominance is associated with long-term sequence differentiation between the promoters of homoeologs, suggesting that subgenome expression dominance precedes and is the driving force or even the determining factor for sequence divergence between subgenomes following polyploidization.

Methanogens are the main biological producers of methane on Earth. Methanosarcina acetivorans is one of the best characterized methanogens that has powerful genetic tools for genome editing. To study the physiology of this methanogen in further detail as well as to effectively balance the flux of their engineered metabolic pathways in expansive project undertakings, there is the need for controlled gene expression, which then requires the availability of well-characterized promoters and ribosome-binding sites (RBS). In this study, we constructed a library of 33 promoter-RBS combinations that includes 13 wild-type and 14 hybrid combinations, as well as six combination variants in which the 5\'-untranslated region (5\'UTR) was rationally engineered. The expression strength for each combination was calculated by inducing the expression of the β-glucuronidase reporter gene in M. acetivorans cells in the presence of the two most used growth substrates, either methanol (MeOH) or trimethyl amine (TMA). In this study, the constructed library covers a relatively wide range (140-fold) between the weakest and strongest promoter-RBS combination as well as shows a steady increase and allows different levels of gene expression. Effects on the gene expression strength were also assessed by making measurements at three distinct growth phases for all 33 promoter-RBS combinations. Our promoter-RBS library is effective in enabling the fine-tuning of gene expression in M. acetivorans for physiological studies and the design of metabolic engineering projects that, e.g., aim for the biotechnological valorization of one-carbon compounds.
OBJECTIVE: Methanogenic archaea are potent producers of the greenhouse gas methane and thus contribute substantially to global warming. Under controlled conditions, these microbes can catalyze the production of biogas, which is a renewable fuel, and might help counter global warming and its effects. Engineering the primary metabolism of Methanosarcina acetivorans to render it better and more useful requires controllable gene expression, yet only a few well-characterized promoters and RBSs are presently available. Our study rectifies this situation by providing a library of 33 different promoter-RBS combinations with a 140-fold dynamic range in expression strength. Future metabolic engineering projects can take advantage of this library by using these promoter-RBS combinations as an efficient and tunable gene expression system for M. acetivorans. Furthermore, the methodologies we developed in this study could also be utilized to construct promoter libraries for other types of methanogens.

BACKGROUND: Local gene therapies, including in vivo genome editing, are highly anticipated for the treatment of genetic diseases in skin, especially the epidermis. While the adeno-associated virus (AAV) is a potent vector for in vivo gene delivery, the lack of efficient gene delivery methods has limited its clinical applications.
OBJECTIVE: To optimize the AAV gene delivery system with higher gene delivery efficiency and specificity for epidermis and keratinocytes (KCs), using AAV capsid and promoter engineering technologies.
METHODS: AAV variants with mutations in residues reported to be critical to determine the tropism of AAV2 for KCs were generated by site-directed mutagenesis of AAVDJ. The infection efficiency and specificity for KCs of these variants were compared with those of previously reported AAVs considered to be suitable for gene delivery to KCs in vitro and in vivo. Additionally, we generated an epidermis-specific promoter using the most recent short-core promoter and compared its specificity with existing promoters.
RESULTS: A novel AAVDJ variant capsid termed AAVDJK2 was superior to the existing AAVs in terms of gene transduction efficiency and specificity for epidermis and KCs in vitro and in vivo. A novel tissue-specific promoter, termed the K14 SCP3 promoter, was superior to the existing promoters in terms of gene transduction efficiency and specificity for KCs.
CONCLUSIONS: The combination of the AAVDJK2 capsid and K14 SCP3 promoter improves gene delivery to epidermis in vivo and KCs in vitro. The novel AAV system may benefit experimental research and development of new epidermis-targeted gene therapies.

BACKGROUND: P. pastoris is a common host for effective biosynthesis of heterologous proteins as well as small molecules. Accurate regulation of gene transcription and protein synthesis is necessary to coordinate synthetic gene circuits and optimize cellular energy distribution. Traditional methanol or other inducible promoters, natural or engineered, have defects in either fermentation safety or expression capacity. The utilization of chemical inducers typically adds complexity to the product purification process, but there is no other well-controlled protein synthesis system than promoters yet.
OBJECTIVE: The study aimed to address the aforementioned challenges by constructing light-regulated gene transcription and protein translation systems with excellent expression capacity and light sensitivity.
METHODS: Trans-acting factors were designed by linking the N. crassa blue-light sensor WC-1 with the activation domain of endogenous transcription factors. Light inducible or repressive promoters were then constructed through chimeric design of cis-elements (light-responsive elements, LREs) and endogenous promoters. Various configurations of trans-acting factor/LRE pairs, along with different LRE positions and copy numbers were tested for optimal promoter performance. In addition to transcription, a light-repressive translation system was constructed through the \"rare codon brake\" design. Rare codons were deliberately utilized to serve as brakes during protein synthesis, which were switched on and off through the light-regulated changes in the expression of the corresponding pLRE-tRNA.
RESULTS: As demonstrated with GFP, the light-inducible promoter 4pLRE-cPAOX1 was 70 % stronger than the constitutive promoter PGAP, with L/D ratio = 77. The light-repressive promoter PGAP-pLRE was strictly suppressed by light, with expression capacity comparable with PGAP in darkness. As for the light-repressive translation system, the \"triple brake\" design successfully eliminated leakage and achieved light repression on protein synthesis without any impact on mRNA expression.
CONCLUSIONS: The newly designed light-regulated transcription and translation systems offer innovative tools that optimize the application of P. pastoris in biotechnology and synthetic biology.

Oestrogen receptor alpha (ER; gene symbol ESR1) is the most important prognostic and treatment-predictive biomarker in breast cancer. Drugs targeting oestrogen and ER for endocrine therapy of breast cancer include aromatase inhibitors, the selective ER modulator tamoxifen and the selective ER degrader fulvestrant. Tumours can develop resistance to endocrine therapy through several mechanisms, which is often linked to altered expression of ER. To investigate the role of promoter methylation in the regulation of ESR1 expression, we used bisulfite sequencing to measure methylation at CpG sites in alternative ER promoter regions for six cell line models of fulvestrant resistance. Both CpG methylation and expression of alternative first exons changed dynamically, with striking differences between cell lines that had stable or unstable resistance upon fulvestrant withdrawal. Methylation at some CpG sites was strongly negatively correlated with expression of specific first exons. In a breast tumour cohort, higher relative expression of upstream alternative first exons was associated with worse prognosis in post-menopausal women with ER-positive tumours who received endocrine therapy.

5-Hydroxytryptophan (5-HTP), a precursor of the neurotransmitter serotonin in mammals, has demonstrated efficacy in treating various diseases such as depression, fibromyalgia and obesity. However, conventional biosynthesis methods of 5-HTP are limited by low yield and high reagent and process costs. In this study, the strain C1T7-S337A/F318Y with optimized promoter distribution was obtained, and the 5-HTP yield was 60.30 % higher than that of the initial strain. An efficient fermentation process for 5-HTP synthesis was developed using strain C1T7-S337A/F318Y with whey powder as a substrate for cell growth and inducer production. Shake flask fermentation experiments yielded 1.302 g/L 5-HTP from 2.0 g/L L-tryptophan (L-Trp), surpassing the whole-cell biocatalysis by 42.86 %. Scale-up to a 5 L fermenter further increased the yield to 1.649 g/L. This fermentation strategy substantially slashed reagent cost by 95.39 %, providing a more economically viable and environmentally sustainable route for industrial biosynthesis of 5-HTP. Moreover, it contributes to the broader utilization of whey powder in various industries.

Promoters are DNA sequences that bind with RNA polymerase to initiate transcription, regulating this process through interactions with transcription factors. Accurate identification of promoters is crucial for understanding gene expression regulation mechanisms and developing therapeutic approaches for various diseases. However, experimental techniques for promoter identification are often expensive, time-consuming, and inefficient, necessitating the development of accurate and efficient computational models for this task. Enhancing the model\'s ability to recognize promoters across multiple species and improving its interpretability pose significant challenges. In this study, we introduce a novel interpretable model based on graph neural networks, named GraphPro, for multi-species promoter identification. Initially, we encode the sequences using k-tuple nucleotide frequency pattern, dinucleotide physicochemical properties, and dna2vec. Subsequently, we construct two feature extraction modules based on convolutional neural networks and graph neural networks. These modules aim to extract specific motifs from the promoters, learn their dependencies, and capture the underlying structural features of the promoters, providing a more comprehensive representation. Finally, a fully connected neural network predicts whether the input sequence is a promoter. We conducted extensive experiments on promoter datasets from eight species, including Human, Mouse, and Escherichia coli. The experimental results show that the average Sn, Sp, Acc and MCC values of GraphPro are 0.9123, 0.9482, 0.8840 and 0.7984, respectively. Compared with previous promoter identification methods, GraphPro not only achieves better recognition accuracy on multiple species, but also outperforms all previous methods in cross-species prediction ability. Furthermore, by visualizing GraphPro\'s decision process and analyzing the sequences matching the transcription factor binding motifs captured by the model, we validate its significant advantages in biological interpretability. The source code for GraphPro is available at https://github.com/liuliwei1980/GraphPro.

High Mobility Group A2 (HMGA2) oncofetal proteins are a distinct category of Transcription Factors (TFs) known as \"architectural factors\" due to their lack of direct transcriptional activity. Instead, they modulate the three-dimensional structure of chromatin by binding to AT-rich regions in the minor grooves of DNA through their AT-hooks. This binding allows HMGA2 to interact with other proteins and different regions of DNA, thereby regulating the expression of numerous genes involved in carcinogenesis. Consequently, multiple mechanisms exist to finely control HMGA2 protein expression at various transcriptional levels, ensuring precise concentration adjustments to maintain cellular homeostasis. During embryonic development, HMGA2 protein is highly expressed but becomes absent in adult tissues. However, recent studies have revealed its re-elevation in various cancer types. Extensive research has demonstrated the involvement of HMGA2 protein in carcinogenesis at multiple levels. It intervenes in crucial processes such as cell cycle regulation, apoptosis, angiogenesis, epithelial-to-mesenchymal transition, cancer cell stemness, and DNA damage repair mechanisms, ultimately promoting cancer cell survival. This comprehensive review provides insights into the HMGA2 protein, spanning from the genetic regulation to functional protein behavior. It highlights the significant mechanisms governing HMGA2 gene expression and elucidates the molecular roles of HMGA2 in the carcinogenesis process.

BACKGROUND: White lupin (Lupinus albus L.) is a high-protein Old World grain legume with remarkable food and feed production interest. It is sown in autumn or early spring, depending on the local agroclimatic conditions. This study aimed to identify allelic variants associated with vernalization responsiveness, in order to improve our knowledge of legume flowering regulatory pathways and develop molecular selection tools for the desired phenology as required for current breeding and adaptation to the changing climate.
RESULTS: Some 120 white lupin accessions originating from a wide range of environments of Europe, Africa, and Asia were phenotyped under field conditions in three environments with different intensities of vernalization, namely, a Mediterranean and a subcontinental climate sites of Italy under autumn sowing, and a suboceanic climate site of France under spring sowing. Two hundred sixty-two individual genotypes extracted from them were phenotyped in a greenhouse under long-day photoperiod without vernalization. Phenology data, and marker data generated by Diversity Arrays Technology sequencing (DArT-seq) and by PCR-based screening targeting published quantitative trait loci (QTLs) from linkage map and newly identified insertion/deletion polymorphisms in the promoter region of the FLOWERING LOCUS T homolog, LalbFTc1 gene (Lalb_Chr14g0364281), were subjected to a genome-wide association study (GWAS). Population structure followed differences in phenology and isolation by distance pattern. The GWAS highlighted numerous loci significantly associated with flowering time, including four LalbFTc1 gene promoter deletions: 2388 bp and 2126 bp deletions at the 5\' end, a 264 bp deletion in the middle and a 28 bp deletion at the 3\' end of the promoter. Besides LalbFTc1 deletions, this set contained DArT-seq markers that matched previously published major QTLs in chromosomes Lalb_Chr02, Lalb_Chr13 and Lalb_Chr16, and newly discovered QTLs in other chromosomes.
CONCLUSIONS: This study highlighted novel QTLs for flowering time and validated those already published, thereby providing novel evidence on the convergence of FTc1 gene functional evolution into the vernalization pathway in Old World lupin species. Moreover, this research provided the set of loci specific for extreme phenotypes (the earliest or the latest) awaiting further implementation in marker-assisted selection for spring- or winter sowing.

Tissue-specific gene promoters are desired as they provide the specificity needed for control of gene expression in transgenic animals. Here we describe a relatively rapid two-component transient expression assay that was used to identify a gene promoter active in the larval salivary glands of the green blow fly, Lucilia sericata. Sterile L.sericata maggots are widely used for wound debridement. A larval salivary gland gene promoter could be used to make maggots that secrete factors for enhanced wound therapy. Embryos from a line that carry a tetracycline transactivator (tTA)-activated red fluorescent protein gene were injected with plasmid DNA with the tTA gene driven by a constitutive or tissue-specific gene promoter. The hatched larvae were reared on diet and then examined for red fluorescence. A promoter from the LsCG30371 gene was active in the larval salivary glands. The tissue-specificity of the promoter was subsequently confirmed with stable transgenic lines that carried the LsCG30371-tTA gene. The relatively rapid transient expression assay could potentially be used to determine the tissue-specificity of other gene promoters. Further, the stable LsCG30371-tTA lines could be used to make sterile maggots that secrete factors from the salivary glands for enhanced wound healing.