Single Stage Adaptive Multi-Attention Network for Image Restoration.

Recently attention-based networks have been successful for image restoration tasks. However, existing methods are either computationally expensive or have limited receptive fields, adding constraints to the model. They are also less resilient in spatial and contextual aspects and lack pixel-to-pixel correspondence, which may degrade feature representations. In this paper, we propose a novel and computationally efficient architecture Single Stage Adaptive Multi-Attention Network (SSAMAN) for image restoration tasks, particularly for image denoising and image deblurring. SSAMAN efficiently addresses computational challenges and expands receptive fields, enhancing robustness in spatial and contextual feature representation. Its Adaptive Multi-Attention Module (AMAM), which consists of Adaptive Pixel Attention Branch (APAB) and an Adaptive Channel Attention Branch (ACAB), uniquely integrates channel and pixel-wise dimensions, significantly improving sensitivity to edges, shapes, and textures. We perform extensive experiments and ablation studies to validate the performance of SSAMAN. Our model shows state-of-the-art results on various benchmarks, for example, on image denoising tasks, SSAMAN achieves a notable 40.08 dB PSNR on SIDD dataset, outperforming Restormer by 0.06 dB PSNR, with 41.02% less computational cost, and achieves a 40.05 dB PSNR on the DND dataset. For image deblurring, SSAMAN achieves 33.53 dB PSNR on GoPro dataset. Code and models are available at Github.

Identification of heterosis and combining ability in the hybrids of male sterile and restorer sorghum [Sorghum bicolor (L.) Moench] lines.

In sorghum [Sorghum bicolor (L.) Moench], combining ability and heterosis analysis are commonly used to evaluate superior parental lines and to screen for strongly heterotic hybrids, which helps in sorghum variety selection and breeding. In this context, combining ability and heterosis analysis were assessed using 14 restorer lines and seven cytoplasmic male sterile (CMS) lines in 2019 and 2020. The analysis of variance of all cross combinations had highly significant differences for all characters studied, which indicated a wide variation across the parents, lines, testers, and crosses. Combining ability analysis showed that the general combining ability (GCA) and specific combining ability (SCA) of the different parents were differed significantly among different traits. Most combinations with high SCA also showed high GCA in their parent lines. The heritability in the narrow sense of grain weight per panicle and grain yield was relatively low, indicating that the ability of these traits to be directly inherited by offspring was weak, that they were greatly affected by the environment. The better-parent heterosis for plant height, grain weight per panicle, panicle length, and 1000-grain weight was consistent with the order of mid-parent heterosis from strong to weak. The GCA effects of two lines 10480A, 3765A and three testers 0-30R, R111, and JY15R were significant for the majority of the agronomic traits including grain yield and might be used for improving the yield of grains in sorghum as parents of excellent specific combining ability. Seven strongly heterotic F1 hybrids were screened; of these, hybrids 3765A × R111, 1102A × L2R, and 3765A × JY15R showed significant increases in seed iristectorigenin A content and will feature into the creation of new sorghum varieties rich in iristectorigenin A.

Ultra-micro instrument in laparoscopic transabdominal preperitoneal (TAPP) hernioplasty.

This study aimed to explore the feasibility of ultra-micro instruments in the laparoscopic repair of inguinal indirect hernia. This retrospective study included 83 patients with an indirect inguinal hernia who underwent elective surgery from January 2020 to December 2021. All patients were divided into the traditional laparoscopic group and ultra-micro laparoscopic group. The data on operation time, blood loss, ventilation time, hospital stays, complication, postoperative pain degree was collected and compared between the two groups. Of these 83 patients, 25 assigned to the ultra-micro group used ultra-micro instruments while 58 were assigned to the traditional group. The traditional group had a lower mean operation time (57.07 min) than the ultra-micro group (69.60 min) p < 0.05, while ultra-micro group patients had a shorter hospital stay (2 days) than the traditional group (3 days) p < 0.05. The ultra-micro group experienced significantly less pain for 6 h, 1 day, and 2 days postoperatively (2, 1, 0 points) compared to the traditional group (4, 2, 1 points) p < 0.05. There was no significant difference in blood loss, ventilation time, or complication between the two groups. Using ultra-micro instruments is safe and feasible. Patients have less postoperative pain and a smaller incision than the traditional laparoscopic instrument. It is worthy of clinical promotion.

Retrospective analysis of 16 cases of lumbar hernia.

Background: Through a retrospective analysis of 16 cases of lumbar hernia, we discussed the anatomical basis, clinical manifestations, diagnosis, and treatment of this rare condition. Methods: We collected medical data of 15 patients with a primary lumbar hernia and one patient with a secondary lumbar hernia treated in the General Surgery Department of Wuxi No.2 People's Hospital between January 2008 and June 2021 and analysed their demographic, preoperative, and postoperative data. Results: All patients underwent elective surgery performed by the same treatment team for superior lumbar hernias. The median area of the hernia defect was 12 cm2. Fifteen patients underwent sublay repair, and one underwent onlay repair. The median operative time and blood loss were 48 min and 22 mL, respectively. The hernia contents were extraperitoneal fat in 15 patients and partial small intestine in one. The median visual analogue scale score on postoperative day 1 was 3. A postoperative drainage tube was placed in three cases but not used in 13. The median duration of hospital stay was 5 days. Postoperative incision infection occurred in one case. During the follow-up period, no postoperative complications, including haematoma, seroma, incision infection or rupture, recurrence, and chronic pain, occurred in the other 15 cases. Conclusion: Lumbar hernias are rare and can be safely and effectively treated by open tension-free repair.

Click-iG: Simultaneous Enrichment and Profiling of Intact N-linked, O-GalNAc, and O-GlcNAcylated Glycopeptides.

Proteins are ubiquitously modified with glycans of varied chemical structures through distinct glycosidic linkages, making the landscape of protein glycosylation challenging to map. Profiling of intact glycopeptides with mass spectrometry (MS) has recently emerged as a powerful tool for revealing matched information of the glycosylation sites and attached glycans (i.e., intact glycosites), but is largely limited to individual glycosylation types. Herein, we describe Click-iG, which integrates metabolic labeling of glycans with clickable unnatural sugars, an optimized MS method, and a tailored version of pGlyco3 software to enable simultaneous enrichment and profiling of three types of intact glycopeptides: N-linked, mucin-type O-linked, and O-GlcNAcylated glycopeptides. We demonstrate the utility of Click-iG by the identification of thousands of intact glycosites in cell lines and living mice. From the mouse lung, heart, and spleen, a total of 2053 intact N-glycosites, 262 intact O-GalNAc glycosites, and 1947 O-GlcNAcylation sites were identified. Click-iG-enabled comprehensive coverage of the protein glycosylation landscape lays the foundation for interrogating crosstalk between different glycosylation pathways.

Metabolic Glycan Labeling in Primary Neurons Enabled by Unnatural Sugars with No S-Glyco-Modification.

It is of great interest to probe glycosylation in primary neuron cultures. However, per-O-acetylated clickable unnatural sugars, which have been routinely utilized in metabolic glycan labeling (MGL) for analyzing glycans, showed cytotoxicity to cultured primary neurons and thus led to the speculation that MGL was not compatible with primary neuron cell cultures. Here, we uncovered that neuron cytotoxicity of per-O-acetylated unnatural sugars was related to their reactions with protein cysteines via non-enzymatic S-glyco-modification. The modified proteins were enriched in biological functions related to microtubule cytoskeleton organization, positive regulation of axon extension, neuron projection development, and axonogenesis. We thus established MGL in cultured primary neurons without cytotoxicity using S-glyco-modification-free unnatural sugars including ManNAz, 1,3-Pr2ManNAz, and 1,6-Pr2ManNAz, which allowed for visualization of cell-surface sialylated glycans, probing the dynamics of sialylation, and large-scale identification of sialylated N-linked glycoproteins and the modification sites in primary neurons. Particularly, a total of 505 sialylated N-glycosylation sites distributed on 345 glycoproteins were identified by 1,6-Pr2ManNAz.

Genome­wide identification and characterization of miR396 family members and their target genes GRF in sorghum (Sorghum bicolor (L.) moench).

MicroRNAs (miRNAs) widely participate in plant growth and development. The miR396 family, one of the most conserved miRNA families, remains poorly understood in sorghum. To reveal the evolution and expression pattern of Sbi-miR396 gene family in sorghum, bioinformatics analysis and target gene prediction were performed on the sequences of the Sbi-miR396 gene family members. The results showed that five Sbi-miR396 members, located on chromosomes 4, 6, and 10, were identified at the whole-genome level. The secondary structure analysis showed that the precursor sequences of all five Sbi-miR396 potentially form a stable secondary stem-loop structure, and the mature miRNA sequences were generated on the 5' arm of the precursors. Sequence analysis identified the mature sequences of the five sbi-miR396 genes were high identity, with differences only at the 1st, 9th and 21st bases at the 5' end. Phylogenetic analysis revealed that Sbi-miR396a, Sbi-miR396b, and Sbi-miR396c were clustered into Group I, and Sbi-miR396d and Sbi-miR396e were clustered into Group II, and all five sbi-miR396 genes were closely related to those of maize and foxtail millet. Expression analysis of different tissue found that Sbi-miR396d/e and Sbi-miR396a/b/c were preferentially and barely expressed, respectively, in leaves, flowers, and panicles. Target gene prediction indicates that the growth-regulating factor family members (SbiGRF1/2/3/4/5/6/7/8/10) were target genes of Sbi-miR396d/e. Thus, Sbi-miR396d/e may affect the growth and development of sorghum by targeting SbiGRFs. In addition, expression analysis of different tissues and developmental stages found that all Sbi-miR396 target genes, SbiGRFs, were barely expressed in leaves, root and shoot, but were predominantly expressed in inflorescence and seed development stage, especially SbiGRF1/5/8. Therefore, inhibition the expression of sbi-miR396d/e may increase the expression of SbiGRF1/5/8, thereby affecting floral organ and seed development in sorghum. These findings provide the basis for studying the expression of the Sbi-mir396 family members and the function of their target genes.

Application of family-centered empowerment model in primary caregivers of premature infants: A quasi-experimental study.

Objective: To explore the effect of the family-centered empowerment model (FECM) on reducing anxiety, improving care ability, and readiness for hospital discharge of main caregivers of preterm infants. Methods: The primary caregivers of preterm infants who were admitted to the Neonatal intensive care Unit (NICU) of our center from September 2021 to April 2022 were selected as the research objects. According to the wishes of the primary caregivers of preterm infants, they were divided into group A (FECM group) and group B (non-FECM group). The intervention effects were evaluated with the Anxiety Screening Scale (GAD-7), the Readiness for Hospital Discharge Scale-Parent Version (RHDS-Parent Form), and the Primary Caregivers of Premature Infants Assessment of Care Ability Questionnaire. Results: Before the intervention, there was no statistically significant difference in the general information, anxiety screening, the scores of each dimension, and total score of the comprehensive ability of the main caregivers, and the score of caregiver preparedness between the two groups (P > 0.05). After the intervention, there were statistically significant differences in the anxiety screening, the total score and total score of each dimension of the care ability, and the score of caregiver preparedness between the two groups (P < 0.05). Conclusions: FECM can effectively reduce the anxiety of primary caregivers of premature infants and improve their readiness for hospital discharge and care ability. To improve the quality of life of premature infants by implementing personalized training, care guidance, and peer support.

The Identification of a Yield-Related Gene Controlling Multiple Traits Using GWAS in Sorghum (Sorghum bicolor L.).

Sorghum bicolor (L.) is one of the oldest crops cultivated by human beings which has been used in food and wine making. To understand the genetic diversity of sorghum breeding resources and further guide molecular-marker-assisted breeding, six yield-related traits were analyzed for 214 sorghum germplasm from all over the world, and 2,811,016 single-nucleotide polymorphisms (SNPs) markers were produced by resequencing these germplasms. After controlling Q and K, QTLs were found to be related to the traits using three algorisms. Interestingly, an important QTL was found which may affect multiple traits in this study. It was the most likely candidate gene for the gene SORBI_3008G116500, which was a homolog of Arabidopsis thaliana gene-VIP5 found by analyzing the annotation of the gene in the LD block. The haplotype analysis showed that the SORBI_3008G116500hap3 was the elite haplotype, and it only existed in Chinese germplasms. The traits were proven to be more associated with the SNPs of the SORBI_3008G116500 promoter through gene association studies. Overall, the QTLs and the genes identified in this study would benefit molecular-assisted yield breeding in sorghum.

Effects of chemical additives and mature compost on reducing nitrogen loss during food waste composting.

This study is aimed at adding different types of mature compost and sulfur powder, as additives into food waste composting to investigate the effect on nitrogen loss and compost maturity. The composting experiment used the in-vessel composting method and was conducted continuously for 15 days. High-throughput sequencing was used to analyze the bacterial community during composting. Results showed that the secondary fermentation mature compost mixed with sulfur powder group had the most reduction of ammonia emission (56%) and the primary fermentation mature compost amendments were the most effective for nitrous oxide emission reduction (37%). The temperature, pH, and nitrogen forms of transformation of the pile significantly affect the nitrogen loss during composting. Firmicutes helped to promote the rapid warming of the pile, and Actinobacteria and Proteobacteria played an important role in decomposition of organic matter. Thermobifida and Ureibacillus had a main contribution to the rapid degradation of organic matter in the process of composting. The relative abundance of nitrogen-fixing bacteria was higher, and the relative abundance of predominantly ammonifying and denitrifying bacteria was lower than the control group, with the addition of different additives.

Machine learning based personalized drug response prediction for lung cancer patients.

Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been developed against EGFR and show encouraging results for survival rate and quality of life. However, drug resistance may affect treatment plans and treatment efficacy may be lost after about a year. Predicting the response to EGFR-TKIs for EGFR-mutated lung cancer patients is a key research area. In this study, we propose a personalized drug response prediction model (PDRP), based on molecular dynamics simulations and machine learning, to predict the response of first generation FDA-approved small molecule EGFR-TKIs, Gefitinib/Erlotinib, in lung cancer patients. The patient's mutation status is taken into consideration in molecular dynamics (MD) simulation. Each patient's unique mutation status was modeled considering MD simulation to extract molecular-level geometric features. Moreover, additional clinical features were incorporated into machine learning model for drug response prediction. The complete feature set includes demographic and clinical information (DCI), geometrical properties of the drug-target binding site, and the binding free energy of the drug-target complex from the MD simulation. PDRP incorporates an XGBoost classifier, which achieves state-of-the-art performance with 97.5% accuracy, 93% recall, 96.5% precision, and 94% F1-score, for a 4-class drug response prediction task. We found that modeling the geometry of the binding pocket combined with binding free energy is a good predictor for drug response. However, we observed that clinical information had a little impact on the performance of the model. The proposed model could be tested on other types of cancers. We believe PDRP will support the planning of effective treatment regimes based on clinical-genomic information. The source code and related files are available on GitHub at:   https://github.com/rizwanqureshi123/PDRP/ .

Hierarchical scale convolutional neural network for facial expression recognition.

Recognition of facial expressions plays an important role in understanding human behavior, classroom assessment, customer feedback, education, business, and many other human-machine interaction applications. Some researchers have realized that using features corresponding to different scales can improve the recognition accuracy, but there is a lack of a systematic study to utilize the scale information. In this work, we proposed a hierarchical scale convolutional neural network (HSNet) for facial expression recognition, which can systematically enhance the information extracted from the kernel, network, and knowledge scale. First, inspired by that the facial expression can be defined by different size facial action units and the power of sparsity, we proposed dilation Inception blocks to enhance kernel scale information extraction. Second, to supervise relatively shallow layers for learning more discriminated features from different size feature maps, we proposed a feature guided auxiliary learning approach to utilize high-level semantic features to guide the shallow layers learning. Last, since human cognitive ability can progressively be improved by learned knowledge, we mimicked such ability by knowledge transfer learning from related tasks. Extensive experiments on lab-controlled, synthesized, and in-the-wild databases showed that the proposed method substantially boosts performance, and achieved state-of-the-art accuracy on most databases. Ablation studies proved the effectiveness of modules in the proposed method.

Cell-type-specific labeling and profiling of glycans in living mice.

Metabolic labeling of glycans with clickable unnatural sugars has enabled glycan analysis in multicellular systems. However, cell-type-specific labeling of glycans in vivo remains challenging. Here we develop genetically encoded metabolic glycan labeling (GeMGL), a cell-type-specific strategy based on a bump-and-hole pair of an unnatural sugar and its matching engineered enzyme. N-pentynylacetylglucosamine (GlcNAl) serves as a bumped analog of N-acetylglucosamine (GlcNAc) that is specifically incorporated into glycans of cells expressing a UDP-GlcNAc pyrophosphorylase mutant, AGX2F383G. GeMGL with the 1,3-di-O-propionylated GlcNAl (1,3-Pr2GlcNAl) and AGX2F383G pair was demonstrated in cell cocultures, and used for specific labeling of glycans in mouse xenograft tumors. By generating a transgenic mouse line with AGX2F383G expressed under a cardiomyocyte-specific promoter, we performed specific imaging of cardiomyocyte glycans in the heart and identified 582 cardiomyocyte O-GlcNAcylated proteins with no interference from other cardiac cell types. GeMGL will facilitate cell-type-specific glycan imaging and glycoproteomics in various tissues and disease models.

Click-ExM enables expansion microscopy for all biomolecules.

Expansion microscopy (ExM) allows super-resolution imaging on conventional fluorescence microscopes, but has been limited to proteins and nucleic acids. Here we develop click-ExM, which integrates click labeling into ExM to enable a 'one-stop-shop' method for nanoscale imaging of various types of biomolecule. By click labeling with biotin and staining with fluorescently labeled streptavidin, a large range of biomolecules can be imaged by the standard ExM procedure normally used for proteins. Using 18 clickable labels, we demonstrate click-ExM on lipids, glycans, proteins, DNA, RNA and small molecules. We demonstrate that click-ExM is applicable in cell culture systems and for tissue imaging. We further show that click-ExM is compatible with signal-amplification techniques and two-color imaging. Click-ExM thus provides a convenient and versatile method for super-resolution imaging, which may be routinely used for cell and tissue samples.

Usefulness of three-dimensional printing of superior mesenteric vessels in right hemicolon cancer surgery.

The anatomy of the superior mesenteric vessels is complex, yet important, for right-sided colorectal surgery. The usefulness of three-dimensional (3D) printing of these vessels in right hemicolon cancer surgery has rarely been reported. In this prospective clinical study, 61 patients who received laparoscopic surgery for right hemicolon cancer were preoperatively randomized into 3 groups: 3D-printing (20 patients), 3D-image (19 patients), and control (22 patients) groups. Surgery duration, bleeding volume, and number of lymph node dissections were designed to be the primary end points, whereas postoperative complications, post-operative flatus recovery time, duration of hospitalization, patient satisfaction, and medical expenses were designed to be secondary end points. To reduce the influence of including different surgeons in the study, the surgical team was divided into 2 groups based on surgical experience. The duration of surgery for the 3D-printing and 3D-image groups was significantly reduced (138.4 ± 19.5 and 154.7 ± 25.9 min vs. 177.6 ± 24.4 min, P = 0.000 and P = 0.006), while the number of lymph node dissections for the these 2 groups was significantly increased (19.1 ± 3.8 and 17.6 ± 3.9 vs. 15.8 ± 3.0, P = 0.001 and P = 0.024) compared to the control group. Meanwhile, the bleeding volume for the 3D-printing group was significantly reduced compared to the control group (75.8 ± 30.4 mL vs. 120.9 ± 39.1 mL, P = 0.000). Moreover, patients in the 3D-printing group reported increased satisfaction in terms of effective communication compared to those in the 3D-image and control groups. Medical expenses decreased by 6.74% after the use of 3D-printing technology. Our results show that 3D-printing technology could reduce the duration of surgery and total bleeding volume and increase the number of lymph node dissections. 3D-printing technology may be more helpful for novice surgeons.Trial registration: Chinese Clinical Trial Registry, ChiCTR1800017161. Registered on 15 July 2018.

3D Printing Technology Improves Medical Interns' Understanding of Anatomy of Gastrocolic Trunk.

OBJECTIVE: Complex vascular anatomy has always been a difficult point for medical students. Gastrocolic trunk (Henle trunk) has many branches and variations, involving the venous reflux of the stomach, right colon, and pancreas. This study investigated the effects of 3 dimensional (3D) printing technology on medical interns' understanding of Henle trunk's variation, by comparing 2 dimensional (2D) images. SETTING: Henle trunk modes were manufactured using 3D-CT angiography and 3D-printing technology. PARTICIPANTS: Forty-seven interns from 2 medical schools (Nanjing Medical University and Medical College of Nantong University) participated in the study. DESIGN: The interns were divided randomly allocated into 2 groups, where group 1 was the control group with a 2D image of Henle trunk plus surgical video (named 2D image group), and group 2 was the study group with a 3D printed model of Henle trunk plus surgical video (named 3D-printing group). Knowledge of interns on the Henle trunk was compared between 2 groups using a question test before and after the teaching intervention. RESULTS: All interns had an improved overall assessment score as a result of attending the seminar, whether in the 2D image group or the 3D-printing group. The score of the 2D image group increased 32.57 ± 13.86, and the 3D-printing group increased 47.04 ± 12.99, showing significant difference (p = 0.001). There was no significant difference observed between postseminar scores between 2 medical schools (p = 0.975). There was a significant improvement in satisfaction among the 3D-printing group for education depth, novel and inspiring of teaching method, except for the interaction between teacher and interns (p = 0.215). Interns hope to have more teaching time for 3D printing, and not satisfied with the time of 3D printing teaching compared with those in the 2D image group (p = 0.021). CONCLUSIONS: The 3-D printed Henle trunk model is a very effective teaching tool, which can help interns understand the anatomy of Henle trunk. The application of 3D printing technology in the teaching of interns of complex vascular anatomy is worth popularizing in teaching hospitals.

Transcription Factor GarWRKY5 Is Involved in Salt Stress Response in Diploid Cotton Species (Gossypium aridum L.).

Cotton is one of the most economically important crops in the world, and it is exposed to various abiotic stresses during its lifecycle, especially salt stress. However, the molecular mechanisms underlying cotton tolerance to salt stress are still not fully understood due to the complex nature of salt response. Therefore, identification of salt stress tolerance-related functional genes will help us understand key components involved in stress response and provide valuable genes for improving salt stress tolerance via genetic engineering in cotton. In the present study, virus-induced gene silencing of GhWRKY5 in cotton showed enhanced salt sensitivity compared to wild-type plants under salt stress. Overexpression of GarWRKY5 in Arabidopsis positively regulated salt tolerance at the stages of seed germination and vegetative growth. Additionally, GarWRKY5-overexpressing plants exhibited higher activities of superoxide dismutase (SOD) and peroxidase (POD) under salt stress. The transcriptome sequencing analysis of transgenic Arabidopsis plants and wild-type plants revealed that there was enriched coexpression of genes involved in reactive oxygen species (ROS) scavenging (including glutamine S-transferases (GSTs) and SODs) and altered response to jasmonic acid and salicylic acid in the GarWRKY5-OE lines. GarWRKY5 is involved in salt stress response by the jasmonic acid- or salicylic acid-mediated signaling pathway based on overexpression of GarWRKY5 in Arabidopsis and virus-induced gene silencing of GarWRKY5 in cotton.

Next-generation unnatural monosaccharides reveal that ESRRB O-GlcNAcylation regulates pluripotency of mouse embryonic stem cells.

Unnatural monosaccharides such as azidosugars that can be metabolically incorporated into cellular glycans are currently used as a major tool for glycan imaging and glycoproteomic profiling. As a common practice to enhance membrane permeability and cellular uptake, the unnatural sugars are per-O-acetylated, which, however, can induce a long-overlooked side reaction, non-enzymatic S-glycosylation. Herein, we develop 1,3-di-esterified N-azidoacetylgalactosamine (GalNAz) as next-generation chemical reporters for metabolic glycan labeling. Both 1,3-di-O-acetylated GalNAz (1,3-Ac2GalNAz) and 1,3-di-O-propionylated GalNAz (1,3-Pr2GalNAz) exhibit high efficiency for labeling protein O-GlcNAcylation with no artificial S-glycosylation. Applying 1,3-Pr2GalNAz in mouse embryonic stem cells (mESCs), we identify ESRRB, a critical transcription factor for pluripotency, as an O-GlcNAcylated protein. We show that ESRRB O-GlcNAcylation is important for mESC self-renewal and pluripotency. Mechanistically, ESRRB is O-GlcNAcylated by O-GlcNAc transferase at serine 25, which stabilizes ESRRB, promotes its transcription activity and facilitates its interactions with two master pluripotency regulators, OCT4 and NANOG.

Gap-Junction-Dependent Labeling of Nascent Proteins in Multicellular Networks.

Intercellular communication via gap junctions is crucial for orchestrating behaviors of multicellular systems. Imaging methods and electrophysiological techniques have been widely used to identify gap junctions and map the gap-junction-connected cell networks. However, analyzing gene expression within a gap-junction network remains challenging. Herein, we report the development of bio-orthogonal recording of translation in adjacent cells connected by gap junctions (BORTAC-GJ), a gap-junction-dependent protein tagging method based on local activation of clickable amino acid analogues that pass through gap junctions and are metabolically incorporated into nascent proteins. We demonstrated that BORTAC-GJ enabled selective labeling of nascent proteomes, thus recording translation, in cell networks connected by gap junctions, leaving unconnected cells not labeled. We further applied BORTAC-GJ to probe bystander STING activation triggered by gap-junction-mediated cGAMP transfer, an important process in innate immune response. BORTAC-GJ provides a means to investigate the gap-junction network at the proteome level and is broadly applicable for various cell types connected by gap junctions.