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Fig. 5 in Deciphering the roles of leucine-rich repeat receptor-like protein kinases (LRR-RLKs) in response to Fusarium wilt in the Vernicia fordii (Tung tree)
Fig. 5. Expression of VfLRR-RLK gene family members. The heat map depicts expression profiles of VfLRR-RLKs in V. fordii (left) and V. montana (right) in response to Fusarium wilt at four infection stages: 0, uninfected stage; 1, 2 days after Fusarium wilt infection (dpi); 2, 8 dpi; 3, 13 dpi. F0–F3 indicated the expression of VfLRRRLKs in V. fordii during the infection stage (0, 1, 2, 3) by the pathogen Fusarium wilt; M0-M3 indicated the expression of VfLRR-RLKs in V. montana during the infection stage (0, 1, 2, 3) by the pathogen Fusarium wilt. The innermost circle represents 0, followed by 1, 2, and the outermost circle represents 3.
Fig. 4 in Deciphering the roles of leucine-rich repeat receptor-like protein kinases (LRR-RLKs) in response to Fusarium wilt in the Vernicia fordii (Tung tree)
Fig. 4. The similar expression patterns between duplicated VfLRR-RLK gene pairs during vegetative and reproductive development. Numbers on the x-axis indicate the following: seeds at 10, 15, 20, 25, and 30 weeks after flowering (WAF; 10_WAF, 15_WAF, 20_WAF, 25_WAF, and 30_WAF), male flowers at 30, 20, 10, and 1 days before flowering (X1-X4), female flowers at 30, 20, 10, and 1 days before flowering (C1–C4), young leaves, roots, stems, and hermaphrodite (CX).
Fig. 6 in Deciphering the roles of leucine-rich repeat receptor-like protein kinases (LRR-RLKs) in response to Fusarium wilt in the Vernicia fordii (Tung tree)
Fig. 6. The qRT-PCR experiments of four VfLRR-RLKs in response to Fusarium wilt. Black represents these VfLRR-RLKs in response to Fusarium wilt in V. fordii. Grey represents these VfLRR-RLKs in response to Fusarium wilt in V. montana. The numbers in the x-axis indicate the two stages of infection, as follows: 1, uninfected stage; 2, late stage of infection.
Fig. 3 in Deciphering the roles of leucine-rich repeat receptor-like protein kinases (LRR-RLKs) in response to Fusarium wilt in the Vernicia fordii (Tung tree)
Fig. 3. Collinearity relationships of LRR-RLKs in V. fordii and the other four Euphorbiaceae genomes. The chromosomes of different Euphorbiaceae species were depicted as blocks of different colors. Gene pairs with a syntenic relationship between different Euphorbiaceae species were connected by different colored lines. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Deciphering the roles of leucine-rich repeat receptor-like protein kinases (LRR-RLKs) in response to Fusarium wilt in the Vernicia fordii (Tung tree)
Fig. 1. The maximum likelihood tree and synteny analysis among these five Euphorbiaceae genomes. All LRR-RLKs were divided into 22 groups and were distinguished by different colors. These different groups were determined and defined based on the A. thaliana homologs nomenclature within the same group (Shiu and Bleecker, 2001b). The synteny relationships between different Euphorbiaceae genomes were represented by different links. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Deciphering the roles of leucine-rich repeat receptor-like protein kinases (LRR-RLKs) in response to Fusarium wilt in the Vernicia fordii (Tung tree)
Fig. 2. The circos figures for chromosome locations with segmental duplication links in M. esculenta (Me; green), H. brasiliensis (Hb; orange), J. curcas (Jc; yellow), R. communis (Rc; blue), and V. fordii (Vf; cyan). The different lines suggested segmented duplicated gene pairs among these five Euphorbiaceae genomes. All the collinearity pairs are represented by grey background. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 7 in Metabolite profiling reveals a role for intercellular dihydrocamalexic acid in the response of mature Arabidopsis thaliana to Pseudomonas syringae
Fig. 7. Exogenous infiltration of dihydrocamalexic acid (DHCA) and bacterial quantification of Pseudomonas syringae in rosette leaves of 7-week old Col-0 and cyp71a12/cyp71a13. DHCA (0.07 μg/mL or 0.25 μg/mL) was applied via pressure infiltration to 7-week-old plants at 24 h postinoculation with P. syringae or mock solution (0.06% DMSO in 10 mM MgCl2). Bacterial levels were quantified at 3 days postinoculation with Pst. Values represent the mean ± standard deviation of three sample replicates (n = 3) consisting of 8 plants each. Different letters indicate statistically significant differences (ANOVA, Tukey's honestly significant difference [HSD], P <0.05).
Fig. 6 in Metabolite profiling reveals a role for intercellular dihydrocamalexic acid in the response of mature Arabidopsis thaliana to Pseudomonas syringae
Fig. 6. Effect of dihydrocamalexic acid (DHCA) and salicylic acid (SA) on biofilm formation of Pseudomonas syringae (Pst) in vitro. Dose-dependent effect of (A) SA and (B) DHCA on Pst biofilm formation in Hrp-inducing minimal medium as measured by crystal violet staining of surface-adherent cells and de-staining with acetic acid (OD570) after stationary incubation for 24, 32, 48, or 60 h. Each data point is the mean ± SD of five wells per concentration from a 96-well non-tissueculture-treated plate. Different letters indicate statistically significant differences (one-way ANOVA, Tukey's honestly significant difference [HSD], P <0.05). Ns indicates not significant. Bars (from left to right) within each timepoint are: 18 μg/mL, 4.5 μg/mL, 1.2 μg/mL, 0.3 μg/mL, and 0 μg/mL. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Metabolite profiling reveals a role for intercellular dihydrocamalexic acid in the response of mature Arabidopsis thaliana to Pseudomonas syringae
Fig. 5. Growth of Pseudomonas syringae (Pst) in the presence of dihydrocamalexic acid (DHCA), camalexin, or DHCA analogs in vitro. Dose-dependent effect of (S)-dihydrocamalexic acid (A), camalexin (B), (1) (R)-2-(phenyl)-4,5-dihydrothiazole-4-carboxylic acid (C), (2) (S)-2-(phenyl)-4,5-dihydrothiazole-4-carboxylic acid (D), (3) (R)-2-(4-hydroxyphenyl)-4,5-dihydrothiazole-4-carboxylic acid (E), and (4) (S)-2-(4-hydroxyphenyl)-4,5-dihydrothiazole-4-carboxylic acid (F) on the growth of Pst in Hrp-inducing minimal medium as measured by turbidity (OD) after incubation for 68 h at room temperature (approximately 25 ◦ C). Each data 600 point is the mean ± SD of three wells per concentration from a 96-well non-tissue-culture-treated plate.
Fig. 4 in Metabolite profiling reveals a role for intercellular dihydrocamalexic acid in the response of mature Arabidopsis thaliana to Pseudomonas syringae
Fig. 4. Quantification of dihydrocamalexic acid (DHCA) (m/z 247.0541, [C12H10N2O2S þ H]) in intercellular washing fluids (IWFs). DHCA levels measured in IWFs from Col-0, cyp71a12/cyp71a13, and cyp71b15 (all 7-weeks post-germination) 24 h after inoculation with P. syringae (Pst) or 10 mM MgCl2 (mock-inoculation) measured by UPLC-MS electrospray ionization in positive mode (ESI+). Values represent the mean ± standard deviation of three sample replicates (n = 3). Different letters indicate statistically significant differences (one-way ANOVA, Tukey's honestly significant difference [HSD], P <0.05). Standard curves were prepared using synthetic DHCA (2 pg–6 μg on column).
Fig. 3 in Metabolite profiling reveals a role for intercellular dihydrocamalexic acid in the response of mature Arabidopsis thaliana to Pseudomonas syringae
Fig. 3. Identification of dihydrocamalexic acid (DHCA) in intercellular washing fluids. Extracted ion chromatograms and mass spectra for DHCA (m/z 247.0541, [C12H10N2O2S + H] in intercellular washing fluids from Pseudomonas syringae-inoculated leaves compared to a synthetic standard. (A) Extracted ion chromatograms and (B) MSMS (25 eV). n. d. Indicates compound not detected. Samples were run in positive electrospray ionization mode.
Fig. 1 in Metabolite profiling reveals a role for intercellular dihydrocamalexic acid in the response of mature Arabidopsis thaliana to Pseudomonas syringae
Fig. 1. Biosynthesis pathway of tryptophan-derived specialised metabolism in Arabidopsis thaliana (simplified). Dashed arrows indicate potential nonenzymatic reactions. Multiple arrows indicate multiple reaction steps simplified for presentation. IAOx: indole-3-acetaldoxime, I3M: indole-3- methylglucosinolate, IAN: indole-3-acetonitrile, ICHO: indole-3-carbaldehyde, ICOOH: indole-3-carboxylic acid, ICN: indole-3-carbonyl nitrile, 4-OH-ICN: 4- hydroxyindole-3-carbonyl nitrile, NSP: nitrile-specifier protein, FOX1: flavin-dependent oxidoreductase, AAO1: Arabidopsis aldehyde oxidase I, GGP: gammaglutamyl peptidase, GGT: gamma-glutamyl transpeptidase DHCA: dihydrocamalexic acid. Modified from Rajniak et al. (2015); Müller et al. (2019).
Data accompanying "Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response"
<p>Data and code accompanying "Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response".</p>
Investigation of the Faecal Loss of Vedolizumab and Its Role in Influencing Serum Drug Levels, Outcomes and Response in Ulcerative Colitis
ClinicalTrials.gov study NCT04006080. IPD Sharing: NO. Countries: 1. Publications: 8.
The Predictive Role of Proteomics in Blood Pressure Response of Hypertensive Patients Undergoing Renal Denervation.
ClinicalTrials.gov study NCT06208501. IPD Sharing: UNDECIDED. Countries: 1. Publications: 33.
A Case Control Study to Identify the Role of Epigenetic Regulation of Genes Responsible for Energy Metabolism and Mitochondrial Function in the Obesity Paradox in Cardiac Surgery
ClinicalTrials.gov study NCT02908009. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Individualizing Pazopanib Therapy by exploRing the Role of Early Metabolic responsE and Drug Exposure as a preDICTor for Treatment Outcome in Patients With STS
ClinicalTrials.gov study NCT01995981. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Evaluation of the Role of Immune Checkpoints in Response to Breast Cancer Neoadjuvant Therapy
ClinicalTrials.gov study NCT05519397. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Observational Study for the Evaluation of the Role of HIV-1 Tat Protein and Anti-Tat Immune Response In HIV Reservoir
ClinicalTrials.gov study NCT04263207. IPD Sharing: NO. Countries: 1. Publications: 33.
Role of Intermittent Exogenous Ketosis in the Physiological and Muscular Adaptive Response to Endurance Training
ClinicalTrials.gov study NCT05932420. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.