Z. Dong

Evaluation of the efficacy of the protopine total alkaloids of Macleaya cordata (Willd.) R. Br. in controlling E. coli infection in broiler chickens

This study evaluates the effectiveness of MPTA extract in reducing E. coli mortality and promoting recovery in infected chickens, finding that 400-1600 mg/kg MPTA-P over 7 days is most effective.

Non-invasive laser speckle imaging of extra-embryonic blood vessels in intact few-days-old avian eggs

The paper demonstrates non-invasive laser speckle imaging for visualizing blood vessels in avian eggs and monitoring embryonic development with machine learning.

Gut Eggerthella lenta promotes the efficacy of resveratrol through reductive metabolism

This study identifies Eggerthella lenta as a key gut bacterium that enhances resveratrol's efficacy through reductive metabolism, producing a more active metabolite.

Single-cell transcriptome landscape of zebrafish liver reveals hepatocytes and immune cell interactions in understanding nonalcoholic fatty liver disease

The paper uses single-cell RNA sequencing to map zebrafish liver cell types and interactions, identifying macrophage subtypes and their role in nonalcoholic fatty liver disease.

A mutant ASXL1-EHMT complex contributes to heterochromatin dysfunction in clonal hematopoiesis and chronic monomyelocytic leukemia

This study shows that mutant ASXL1 proteins disrupt heterochromatin integrity in clonal hematopoiesis and CMML by reducing H3K9me2/3 and H2AK119Ub, leading to increased transposable element expression.

Romer-EPTI: rotating-view motion-robust super-resolution EPTI for SNR-efficient distortion-free in-vivo mesoscale dMRI and microstructure imaging

This paper introduces Romer-EPTI, a novel dMRI technique that improves SNR, motion robustness, and image quality for in-vivo mesoscale imaging.

Single-shot Echo Planar Time-resolved Imaging for multi-echo functional MRI and distortion-free diffusion imaging

This paper introduces single-shot Echo Planar Time-resolved Imaging (ss-EPTI) to improve motion robustness, temporal resolution, and SNR efficiency in dynamic imaging applications.

Coordinated molecular and ecological adaptations underlie a highly successful parasitoid

This study identifies molecular and ecological adaptations in the parasitoid Trichopria drosophilae that enhance its success in parasitizing Drosophila hosts.

Unbiased Complete Estimation of Chloroplast Number in Plant Cells Using Deep Learning Methods

This paper introduces a deep learning method for accurate 3D chloroplast counting in plant cells, achieving over 95% accuracy compared to manual methods.

Filter-aided expansion proteomics

The paper introduces FAXP, a method combining hydrogel expansion and mass spectrometry for high-resolution proteomics of FFPE tissues, showing improved resolution and efficiency over existing methods.

Omics-assisted systematic exploration of the intricate regulatory network of guvermectin biosynthesis centered by the cluster-situated regulator GvmR in Streptomyces

The paper identifies GvmR as a key regulator of guvermectin biosynthesis in Streptomyces, revealing its interactions with other regulators and pathways involved in precursor supply and energy synthesis.

Potassium stimulates fruit sugar accumulation by increasing carbon flow in Citrus

This study shows potassium enhances sugar accumulation in citrus by boosting carbon flow between source and sink through phloem loading mechanisms.

WBSCR16 Determines Metabolic Flexibility Via Regulating Mitochondrial 16S rRNA Maturation

This study identifies WBSCR16 as a key regulator of metabolic flexibility by controlling mitochondrial 16S rRNA maturation and switching between glucose and lipid metabolism.

Three-dimensional Shear Wave Elastography Using Acoustic Radiation Force and A 2-D Row-Column Addressing (RCA) Array

This paper introduces a 3-D shear wave elastography method using a 2-D row-column addressing array, demonstrating robust performance in both phantom and in vivo studies.

Circulating Microparticles: Optimization and Standardization of Isolation Protocols and Reassessment of Their Characteristics and Functions

This study optimizes MP isolation protocols, identifies 3000g as critical for composition, and reveals functional differences between traditional and new MPs.

Context-Aware Deep Learning Enables High-Efficacy Localization of High Concentration Microbubbles for Super-Resolution Ultrasound Localization Microscopy

This paper introduces LOCA-ULM, a deep learning method for ultrasound localization microscopy that improves microbubble detection and localization accuracy in vivo and in silico.

A double-hit of social and economic stress in mice precipitates changes in decision-making strategies

This study shows that mice with prior social defeat stress exhibit altered decision-making strategies when faced with economic stress, impacting food security and subjective value prioritization.

High Volume Rate 3-D Ultrasound Imaging Using Fast-Tilting and Redirecting Reflectors

This paper introduces a new 3-D ultrasound imaging technique called FASTER that improves volume rate and usability compared to conventional methods.

Single-cell transcriptomic analyses reveal the cellular and genetic basis of aquatic locomotion in scyphozoan jellyfish

The paper was withdrawn due to the need for additional experimental evidence and reorganization of data and writing.

Decoding Proteoforms with Single Acid Resolution Using a Sub-nanometer Diameter Pore

The paper demonstrates that sub-nanopore assays can decode proteoforms with single acid resolution by analyzing current fluctuations correlated with amino acid volumes and PTMs.

Contrast-free Super-resolution Doppler (CS Doppler) based on Deep Generative Neural Networks

This paper introduces CS Doppler, a contrast-free super-resolution Doppler technique using deep generative networks, achieving improved spatial resolution and real-time imaging in vivo.

Changes of Mutations and Copy-number and Enhanced Cell Migration during Breast Tumorigenesis

This study identifies mutations and copy-number variations in breast tumorigenic cells and shows that ECM-mimetic platforms enhance their migration.

Balanced chromosomal rearrangements offer insights into coding and noncoding genomic features associated with developmental disorders

The paper analyzes balanced chromosomal rearrangements in developmental disorders, finding noncoding variants disrupt TADs and contribute to pathogenic long-range positional effects.

Arbidol inhibits esophageal squamous cell carcinoma growth in vitro and in vivo through suppressing ataxia telangiectasia and Rad3-related protein kinase

This study shows Arbidol inhibits esophageal squamous cell carcinoma growth by targeting the ATR kinase and disrupting the DNA replication pathway.

Curvelet Transform-based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy

This paper introduces a curvelet transform-based sparsity promoting algorithm to accelerate ultrasound localization microscopy by recovering missing microbubble signals from short acquisition times.

Deep Learning-based Microbubble Localization for Ultrasound Localization Microscopy

This study develops a deep learning method for microbubble localization in ultrasound imaging, showing improved accuracy and performance in vivo.

Three-dimensional Shear Wave Elastography Using a 2D Row Column Addressing (RCA) Array

This paper develops a 3D shear wave elastography technique using a 2D RCA array, demonstrating its ability to detect 3D shear wave motion and reconstruct speed maps with high volume-rate.

Improved Ultrasound Localization Microscopy based on Microbubble Uncoupling via Transmit Excitation (MUTE)

This paper introduces MUTE-ULM, a technique that improves ultrasound localization microscopy by reducing data acquisition time through enhanced microbubble separation and localization.

Boundary domain genes were recruited to suppress bract growth and promote branching in maize

The paper identifies boundary domain genes tsh1 and lg2 that suppress inflorescence leaf growth and promote branching in maize through regulatory networks and gene duplication events.

Localization free super-resolution microbubble velocimetry using a long short-term memory neural network

This paper introduces Deep-SMV, a deep learning-based method for super-resolution microbubble velocimetry that directly outputs blood velocity maps without requiring microbubble localization.