Figure 1: We present Pix3D, a new large-scale dataset of diverse image-shape pairs. Each 3D shape in Pix3D is associated with a rich and diverse set of images, each with an accurate 3D pose annotation to ensure precise 2D-3D alignment. In comparison, existing datasets have limitations: 3D models may not match the objects in images; pose annotations may be imprecise; or the dataset may be relatively small. AbstractWe study 3D shape modeling from a single image and make contributions to it in three aspects. First, we present Pix3D, a large-scale benchmark of diverse image-shape pairs with pixel-level 2D-3D alignment. Pix3D has wide applications in shape-related tasks including reconstruction, retrieval, viewpoint estimation, etc. Building such a large-scale dataset, however, is highly challenging; existing datasets either contain only synthetic data, or lack precise alignment between 2D images and 3D shapes, or only have a small number of images. Second, we calibrate the evaluation criteria for 3D shape reconstruction through behavioral studies, and use them to objectively and systematically benchmark cuttingedge reconstruction algorithms on Pix3D. Third, we design a novel model that simultaneously performs 3D reconstruction and pose estimation; our multi-task learning approach achieves state-of-the-art performance on both tasks. * Only 90 of the 219 shapes in the IKEA dataset have associated images. † https://structure.io ‡ https://occipital.com

MSCs treatment can protect against experimental liver fibrosis in CCl4-induced or DMN-induced rats and the mechanisms of the anti-fibrosis by MSCs will be studied further.

The problem of single-view 3D shape completion or reconstruction is challenging, because among the many possible shapes that explain an observation, most are implausible and do not correspond to natural objects. Recent research in the field has tackled this problem by exploiting the expressiveness of deep convolutional networks. In fact, there is another level of ambiguity that is often overlooked: among plausible shapes, there are still multiple shapes that fit the 2D image equally well; i.e., the ground truth shape is non-deterministic given a single-view input. Existing fully supervised approaches fail to address this issue, and often produce blurry mean shapes with smooth surfaces but no fine details. In this paper, we propose ShapeHD, pushing the limit of single-view shape completion and reconstruction by integrating deep generative models with adversarially learned shape priors. The learned priors serve as a regularizer, penalizing the model only if its output is unrealistic, not if it deviates from the ground truth. Our design thus overcomes both levels of ambiguity aforementioned. Experiments demonstrate that ShapeHD outperforms state of the art by a large margin in both shape completion and shape reconstruction on multiple real datasets.

Long noncoding RNAs (lncRNAs) are involved in the pathology of colorectal cancer (CRC). Current efforts to eradicate CRC predominantly focused on targeting the proliferation of rapidly growing cancer epithelial cells. This is largely ineffective with resistance arising in most tumors after exposure to chemotherapy. Despite the long‐standing recognition of the crosstalk between carcinoma‐associated fibroblasts (CAFs) and cancer cells in the tumor microenvironment, how CAFs may contribute to drug resistance in neighboring cancer cells is not well characterized. Here, we show that lncRNA CCAL (colorectal cancer‐associated lncRNA) promotes oxaliplatin (Oxa) resistance of CRC cells. RNA‐ISH shows higher CCAL expressed in the tumor stroma compared to cancer nests of CRC tissues. Functional studies reveal that CCAL is transferred from CAFs to the cancer cells via exosomes, where it suppresses CRC cell apoptosis, confers chemoresistance and activates β‐catenin pathway in vitro and in vivo. Mechanistically, CCAL interacts directly with mRNA stabilizing protein HuR (human antigen R) to increase β‐catenin mRNA and protein levels. Our findings indicate that CCAL expressed by CAFs of the colorectal tumor stroma contributes to tumor chemoresistance and CCAL may serve as a potential therapeutic target for Oxa resistance.

A rapid and sensitive isothermal method is crucial for point-of-care (POC) nucleic acid testing. Recently, RNA-guided CRISPR/Cas12a proteins were discovered to exhibit target-triggered nonspecific single-stranded deoxyribonuclease (ssDNase) activity. Herein, the ssDNase cleavage capacity of the CRISPR/Cas12a system for interfacial hairpin DNA (hpDNA) and linear DNA was investigated in detailed. A novel electrochemical DNA biosensor was then developed via target-induced Cas12a cleaving interfacial hpDNA. In this strategy, the RNA-guided target DNA binding activates the robust Cas12a ssDNase activity. The immobilized hpDNA electrochemical reporters with a low surface coverage and incompact morphological structure present accessible substrates for highly efficient Cas12a cleavage, leading to a highly sensitive electrochemical DNA biosensor. Under the optimal conditions, as low as 30 pM target DNA was detected in about 60 min with 3.5 orders of magnitude dynamic range from 50 pM to 100 nM. Furthermore, the practical application ability of the established sensing method for detecting the target in complex matrices was also demonstrated. The proposed strategy enables rapid and sensitive DNA determination, providing a potential tool for POC molecular diagnostics.

Unexplained recurrent spontaneous abortion (URSA) is an alloimmune disease associated with the failure of fetal-maternal immunologic tolerance in which the regulatory T lymphocytes (Treg) play a pivotal role. It is well known that Forkhead box P3 (Foxp3) is a crucial regulatory factor for the development and function of Treg cells. It has also been established that deficiency of the Foxp3 gene suppresses the regulatory function of Treg cells. To determine if functional polymorphisms at the Foxp3 loci are associated with URSA in humans, we genotyped four common polymorphisms of Foxp3 gene in 146 unrelated URSA patients and 112 healthy women. The results showed that rs3761548A/C and rs2232365A/G polymorphisms were significantly associated with URSA. Additionally, we found that the allelic distribution of rs5902434 del/ATT in URSA group was slightly different from that in the control group. We conclude that functional polymorphisms of the Foxp3 gene may confer an important susceptibility to URSA in the Chinese Han population, probably by altering Foxp3 function and/or its expression.

Little things matter Particulate air pollution 2.5 micrometers or smaller in size (PM2.5) is a major cause of human mortality, and controlling its production is a health policy priority. Nitrogen oxides are an important precursor of PM2.5 and have been a focus of pollution control programs. However, Gu et al . now show that abating ammonia emissions is also an important component of PM2.5 reduction, and the societal benefits of abatement greatly outweigh the costs (see the Perspective by Erisman). Reducing ammonia emissions thus would be a cost-effective complement to nitrogen oxides and sulfur dioxide controls. —HJS

Members of the plant-specific GASA (gibberellic acid-stimulated Arabidopsis) gene family have multiple potential roles in plant growth and development, particularly in flower induction and seed development. However, limited information is available about the functions of these genes in fruit plants, particularly in grapes. We identified 14 GASA genes in grapevine (Vitis vinifera L.) and performed comprehensive bioinformatics and expression analyses. In the bioinformatics analysis, the locations of genes on chromosomes, physiochemical properties of proteins, protein structure, and subcellular positions were described. We evaluated GASA proteins in terms of domain structure, exon-intron distribution, motif arrangements, promoter analysis, phylogenetic, and evolutionary history. According to the results, the GASA domain is conserved in all proteins and the proteins are divided into three well-conserved subgroups. Synteny analysis proposed that segmental and tandem duplication have played a role in the expansion of the GASA gene family in grapes, and duplicated gene pairs have negative selection pressure. Most of the proteins were predicted to be in the extracellular region, chloroplasts, and the vacuole. In silico promoter analysis suggested that the GASA genes may influence different hormone signaling pathways and stress-related mechanisms. Additionally, we performed a comparison of the expression between seedless (Thompson seedless) and seeded (Red globe) cultivars in different plant parts, including the ovule during different stages of development. Furthermore, some genes were differentially expressed in different tissues, signifying their role in grapevine growth and development. Several genes (VvGASA2 and 7) showed different expression levels in later phases of seed development in Red globe and Thompson seedless, suggesting their involvement in seed development. Our study presents the first genome-wide identification and expression profiling of grapevine GASA genes and provides the basis for functional characterization of GASA genes in grapes. We surmise that this information may provide new potential resources for the molecular breeding of grapes.