A5101866262- Photosynthetic Processes and Mechanisms
- Plant Molecular Biology Research
- Cancer Immunotherapy and Biomarkers
- Plant Stress Responses and Tolerance
- Light effects on plants
- Plant Reproductive Biology
- Ferroptosis and cancer prognosis
- Single-cell and spatial transcriptomics
- Gut microbiota and health
- Mechanical and Optical Resonators
- Bone Metabolism and Diseases
- Viral Infectious Diseases and Gene Expression in Insects
- Genetic factors in colorectal cancer
- Membrane-based Ion Separation Techniques
- Immune cells in cancer
- Photoreceptor and optogenetics research
- Transgenic Plants and Applications
- Bone and Joint Diseases
- vaccines and immunoinformatics approaches
- Cancer Genomics and Diagnostics
- Plant Gene Expression Analysis
- CAR-T cell therapy research
- Bone health and treatments
- Postharvest Quality and Shelf Life Management
- Cancer Research and Treatments
Pohang University of Science and Technology
2016-2024
Immune checkpoint inhibitors (ICIs) have substantially improved the survival of cancer patients over past several years. However, only a minority respond to ICI treatment (~30% in solid tumors), and current ICI-response-associated biomarkers often fail predict response. Here, we present machine learning (ML) framework that leverages network-based analyses identify (NetBio) can make robust predictions. We curate more than 700 ICI-treated patient samples with clinical outcomes transcriptomic...
Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment. However, only some patients respond to ICIs, and current biomarkers for ICI efficacy limited performance. Here, we devised an interpretable machine learning (ML) model trained using patient-specific cell-cell communication networks (CCNs) decoded from the patient's bulk tumor transcriptome. The could (i) predict across four types (median AUROC: 0.79) (ii) identify key pathways with crucial players responsible patient...
The phytohormone abscisic acid (ABA) plays crucial roles in various physiological processes, including responses to abiotic stresses, plants. Recently, multiple ABA transporters were identified. loss-of-function and gain-of-function mutants of these show altered sensitivity stomata regulation, highlighting the importance ABA-mediated processes. However, how activity is regulated remains elusive. Here, we that spatial regulation ATP BINDING CASETTE G25 (ABCG25), an exporter, important...
Abstract Abiotic stress, a serious threat to plants, occurs for extended periods in nature. Abscisic acid (ABA) plays critical role abiotic stress responses plants. Therefore, mediated by ABA have been studied extensively, especially short‐term responses. However, long‐term remain largely unknown. To elucidate the mechanism which plants respond prolonged we used treatment that activates signalling against such as dehydration and investigated mechanisms underlying Long‐term constitutive...
Plants need to respond various environmental stresses such as abiotic stress for proper development and growth. The responses can be biochemically demanding, resulting in a trade-off that negatively affects plant growth development. Thus, must fine-tuned depending on the severity duration. Abscisic acid, phytohormone, plays key role stress. Here, we investigated time-dependent physiological molecular long-term ABA treatment Arabidopsis an approach gain insight into Upon treatment, amount of...
Postmenopausal osteoporosis arises from imbalanced osteoclast and osteoblast activity, mounting evidence suggests a role for the osteoimmune system in bone homeostasis. Bisphosphonate (BP) is an antiresorptive agent, but its treatment failure rate can be as high 40%. Here, we performed single-cell RNA sequencing on peripheral immune cells carefully selected postmenopausal women: non-osteoporotic, improved after BP treatment, BP-failed cases. We found increase myeloid patients with...
Plants have recently received much attention as a means of producing recombinant proteins because they are easy to grow at low cost and large scale. Although many plant protein expression systems been developed, there remains need for improved that deliver high yields proteins. Transcription the gene is key step in increasing yield However, revealed strong promoters, terminators, transcription factors identified do not necessarily lead level production Thus, this study, robust system was...
<h2>Summary</h2> Predicting colorectal cancer recurrence after tumor resection is crucial because it promotes the administration of proper subsequent treatment or management to improve clinical outcomes patients. Several molecular factors, including stage, metastasis, and microsatellite instability status, have been used assess risk recurrence, although their predictive ability limited. Here, we predicted based on cellular deconvolution bulk tumors into two distinct immune cell states:...
E3 ligase BRUTUS (BTS), a putative iron sensor, is expressed in both root and shoot tissues seedlings of
Predicting cancer recurrence is essential to improving the clinical outcomes of patients with colorectal (CRC). Although tumor stage information has been used as a guideline predict CRC recurrence, same show different outcomes. Therefore, there need develop method identify additional features for prediction. Here, we developed network-integrated multiomics (NIMO) approach select appropriate transcriptome signatures better prediction by comparing methylation immune cells. We validated...