Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
54,099
datasets available to search
ShareScore release 0.9.0
Dataset results
54,099 results for “Expression”
Fig. 7 in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 7. Effects of control and drought stress on leaf microstructure of apricot. a, c, e, represent the leaf stomata, vertical section, and cuticle in the control group, respectively. b, d, f, represent the leaf stomata, vertical section, and cuticle in the drought stress group, respectively.
Fig. 4 in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 4. KEGG enrichment of annotated DEGs in Treat versus Control. The Y-axis shows the KEGG pathway and the X-axis shows the Rich factor. This q value goes from purple to red, which means from 1 to 0. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 3. GO classifications of DEGs for Treat versus Control. The Y-axis represents the number of DEGs in a category. The BP, CC and MF represent biological process, cellular component and molecular function respectively.
Fig. 5. SSR motifs distribution. The X in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 5. SSR motifs distribution. The X-axis is SSR type, the Y-axis value is the coordinate, the specific number of repetitions should correspond to the legend according to the color, and the Z-axis is the number of SSR. (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 Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 1. Gene Function Classification of the assembled unigenes. Unigenes with BLAST hits were classified into three major categories and 56 sub-categories in GO. The Y-axis shows the number of genes in each sub-category.
Fig. 4 in Salinity effects on physiological and phytochemical characteristics and gene expression of two Glycyrrhiza glabra L. populations
Fig. 4. Antioxidant enzymes in rhizomes of two licorice populations grown under salt stress in the greenhouse. SOD (A) and APX (B). Vertical bars indicate the standard error of the mean (n = 3). Means followed by the same letter are not significantly different (p <0.05) by LSMeans Student's t (n = 3).
Fig. 5 in Salinity effects on physiological and phytochemical characteristics and gene expression of two Glycyrrhiza glabra L. populations
Fig. 5. Expression profile of genes bAS (A), CYP88D6 (B) and CYP2A154 (C) involved in the synthesis of glycyrrhizin in rhizomes of two licorice populations grown under salt stress in greenhouse, using real-time PCR. Vertical bars indicate the standard error of the mean (n = 3). Means followed by the same letter are not significantly different (p <0.05) by LSMeans Student's t (n = 3).
Fig. 3 in Salinity effects on physiological and phytochemical characteristics and gene expression of two Glycyrrhiza glabra L. populations
Fig. 3. Oxidative damage in the rhizomes of two licorice populations grown under salt stress in greenhouse. MDA (A) and H2O2 (B). Vertical bars indicate the standard error of the mean (n = 3). Means followed by the same letter are not significantly different (p <0.05) by LSMeans Student's t (n = 3).
Fig. 1. K in Salinity effects on physiological and phytochemical characteristics and gene expression of two Glycyrrhiza glabra L. populations
Fig. 1. K+/Na+ ratio in rhizomes of two licorice populations grown under salt stress in greenhouse. Vertical bars indicate the standard error of the mean (n = 3). Means followed by the same letter are not significantly different (p <0.05) by LSMeans Student's t (n = 3).
Fig. 7 in Salinity effects on physiological and phytochemical characteristics and gene expression of two Glycyrrhiza glabra L. populations
Fig. 7. HPLC chromatograms of standard solution (glycyrrhizin, 0.25 mg/ml) at 254 nm (A) and a licorice sample (B).
Fig. 6 in Salinity effects on physiological and phytochemical characteristics and gene expression of two Glycyrrhiza glabra L. populations
Fig. 6. Glycyrrhizin content in rhizomes of two licorice populations grown under salt stress in greenhouse. Data are means ± S.E. (n = 3). Vertical bars indicate the standard error of the mean (n = 3). Means followed by the same letter are not significantly different (p <0.05) by LSMeans Student's t (n = 3).
Fig. 5. A in Differential expression after UV-B radiation and characterization of chalcone synthase from the Patagonian hairgrass Deschampsia antarctica
Fig. 5. A) Structural alignment between DaCHS (red) and crystal 4YJY (cyan). The RMSD value was 0.25 Å. B) Molecular dynamics simulation analysis. The MDS was carried out using NAMD software and the trajectory analysis was carried out by using VMD software. C) Proteins' structural stability in the function of RMSD, during 2 ns of MDS. RMSF plots of DaCHS (red) and 4YJY chain A (blue) during MD simulation are compared. The greatest fluctuations are found in the loops region of proteins.
Fig. 1 in Differential expression after UV-B radiation and characterization of chalcone synthase from the Patagonian hairgrass Deschampsia antarctica
Fig. 1. Multiple alignment of amino acids for monocotyledons sequences: H. vulgare HvCHS1 (ID: P26018.1), H. vulgare HvCHS2 (ID: Q96562.1), O. sativa subsp. japonica OsjCHS1(ID: XP_015618054.1), O. sativa subsp. japonica OsjCHS2(ID: XP_015646206.1), O. sativa subsp. indica OsiCHS1 (ID: A2ZEX7.1), Sorghum bicolor SbCHS1(ID: XP_002450874.1), S. bicolor SbCHS2(ID: XP_002450871.1), S. bicolor SbCHS3 (ID: XP_002450875.1), S. bicolor SbCHS4(ID: XP_002450870.1), S. bicolor SbCHS5(ID: XP_002449616.1), S. bicolor SbCHS6 (ID: XP_002450877.1), S. bicolor SbCHS7(ID: XP_002450876.1), Z. mays ZmCHS1 (ID: P24824.1), Z. mays ZmCHS2 (ID: NP_001142246.1). Arrows show active site residues, described for chalcone synthase (Cys 167, Phe 218, His 306 and Asn 339). N-terminal domain and Cterminal domain are shown.
Fig. 4 in Differential expression after UV-B radiation and characterization of chalcone synthase from the Patagonian hairgrass Deschampsia antarctica
Fig. 4. Lineal alignment and secondary structure comparison between DaCHS and the template (code 4YJY). Sequences have a high homology index (92% of sequence identity).
Fig. 3 in Differential expression after UV-B radiation and characterization of chalcone synthase from the Patagonian hairgrass Deschampsia antarctica
Fig. 3. Model of DaCHS structure. The 3D model structure of DaCHS shows 13 β sheets (yellow), 12 α helices (purple) and 8 α helices 310 (blue) and 23 loops. The center core is shown where catalytic residues are positioned. Enlargement of the active site shows the three catalytic residues (Cys 167, His 306 and Asn 339) and the two structural Phe residues (Phe 218, Phe 268). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Dataset from RNAseq analysis of differential gene expression among developmental stages of two non-marine ostracods
<p>Dataset comprising tree files and alignments used for phylogenetic validation of data, assemblies of reference transcriptomes and draft genomes, annotation of draft genomes, as well as supplementary tables.</p>
Supplementary figure collections 1–3 of 'Interspecies co‐expression analysis of lateral root development using inducible systems in rice, Medicago, and Arabidopsis'
<p>Supplementary figure collections 1–3 of 'Interspecies co‐expression analysis of lateral root development using inducible systems in rice, Medicago, and Arabidopsis' (10.1111/tpj.16481)</p>
Supplementary Tables for "Population-level transposable element expression dynamics influence trait evolution in a fungal crop pathogen"
<p><strong>Supplementary Table S1:</strong> Genomic localization of TEs in gene elements and 10 kb windows upstream and downstream of the transcription start site (TSS) in the reference genome IPO323.</p><p><strong>Supplementary Table S2:</strong> Genome-wide TE insertion polymorphism (TIPs) in the pathogen population. 0 represents TE absence and 1 represents TE presence.</p><p><strong>Supplementary Table S3:</strong> Gene expression (log transformed RPKM) values across the population.</p><p><strong>Supplementary Table S4:</strong> Locus-specific transcript abundance at individual TE loci (FPKM) across individuals.</p><p><strong>Supplementary Table S5:</strong> Percent of expressed copies within each TE family in the reference genome IPO323 and percent expressed TE copies in each TE family across the population.</p><p><strong>Supplementary Table S6:</strong> Linkage disequilibrium of TIP in the genome and neighboring SNPs within the 600bp distance from the TE loci.</p><p><strong>Supplementary Table S7:</strong> Genome-wide association mapping of the virulence-associated trait (PLACP: percent leaf area covered by pycnidia) and TE insertion polymorphisms in the genome.</p><p><strong>Supplementary Table S8:</strong> metabolite peak variation in the pathogen population for individual isolates</p><p><strong>Supplementary Table S9:</strong> TIPs in the genome significantly associated with metabolite peak intensity variation in the pathogen population (filtered by Bonferroni threshold).</p><p><strong>Supplementary Table S10: </strong>SRA accession list of RNAseq reads.</p>
Effects of Isoflavones on Gene-expression
ClinicalTrials.gov study NCT01232751. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A First in Human Study of BAY2701439 to Look at Safety, How the Body Absorbs, Distributes and Excretes the Drug, and How Well the Drug Works in Participants With Advanced Cancer Expressing the HER2 Pr
ClinicalTrials.gov study NCT04147819. IPD Sharing: NO. Countries: 2. Publications: 1.
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.