Multifaceted roles of WRKY transcription factors in abiotic stress and flavonoid biosynthesis.

Increasing biotic and abiotic stresses are seriously impeding the growth and yield of staple crops and threatening global food security. As one of the largest classes of regulators in vascular plants, WRKY transcription factors play critical roles governing flavonoid biosynthesis during stress responses. By binding major W-box -elements (TGACCA/T) in target promoters, WRKYs modulate diverse signaling pathways.

CT-based deep learning segmentation of ovarian cancer and the stability of the extracted radiomics features.

Background: Radiomics analysis could provide complementary tissue characterization in ovarian cancer (OC). However, OC segmentation required in radiomics analysis is time-consuming and labour-intensive. In this study, we aim to evaluate the performance of deep learning-based segmentation of OC on contrast-enhanced CT images and the stability of radiomics features extracted from the automated segmentation.

A procedure for producing an anti-AXL nanobody in E. coli.

As one of the receptors of the TAM family, AXL plays a vital role in stem cell maintenance, angiogenesis, immune escape of viruses and drug resistance against tumors. In this study, the truncated extracellular segment containing two immunoglobulin-like domains of human AXL (AXL-IG), which has been confirmed to bind growth arrest specific 6 (GAS6) by structural studies [1], was expressed in a prokaryotic expression system and then purified. Immunizing camelid with the purified AXL-IG as antigen could lead to the production of unique nanobodies composed of only variable domain of heavy chain of heavy-chain antibody (VHH), which are around 15 kD and stable.

Privileged Scaffolds Targeting Bromodomain-containing Protein 4.

In recent years, bromodomain-containing protein 4 (BRD4), a member of the bromodomain and extra terminal domain (BET) family, has been one of the most widely studied targets. BRD4 is a transcriptional regulation factor, which regulates cell transcription, marks mammalian biological mitosis, regulates cell cycle, and plays an important role in the biological process of cancer occurrence and development. It has been demonstrated that the imbalance or dysfunction of BRD4 expression leads to various types of cancers, including testicular gene nuclear protein melanoma, acute myeloid leukemia, colon cancer, breast cancer, liver cancer, and midline cancer.

Repeatability of MR fingerprinting in normal cervix and utility in cervical carcinoma.

Background: Magnetic resonance fingerprinting (MRF) is a fast-imaging acquisition technique that generates quantitative and co-registered parametric maps. The aim of this feasibility study was to evaluate the agreement between MRF and phantom reference values, scan-rescan repeatability of MRF in normal cervix, and its ability to distinguish cervical carcinoma (CC) from normal cervical tissues.

Methods: An International Society of Magnetic Resonance in Medicine/National Institute of Standards and Technology (ISMRM/NIST) phantom was scanned using MRF 15 times over 65 days.

CT texture analysis in histological classification of epithelial ovarian carcinoma.

Objectives: The study aimed to compare the ability of morphological and texture features derived from contrast-enhanced CT in histological subtyping of epithelial ovarian carcinoma (EOC).

Methods: Consecutive 205 patients with newly diagnosed EOC who underwent contrast-enhanced CT were included and dichotomised into high-grade serous carcinoma (HGSC) and non-HGSC. Clinical information including age and cancer antigen 125 (CA-125) was documented.

Technical Note: Machine learning approaches for range and dose verification in proton therapy using proton-induced positron emitters.

Purpose/objective(s): Online proton range/dose verification based on measurements of proton-induced positron emitters is a promising strategy for quality assurance in proton therapy. Because of the nonlinear correlation between the dose distribution and the activity distribution of positron emitters in addition to the presence of noise, machine learning approaches were proposed to establish their relationship.

Materials/methods: Simulations were carried out with a spot-scanning proton system using GATE-8.