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.
25,372
datasets available to search
ShareScore release 0.7.1
Dataset results
25,372 results for “Transcriptomics”
Figure 21. from: Eupolybothrus cavernicolus Komerički & Stoev sp. n. (Chilopoda: Lithobiomorpha: Lithobiidae): the first eukaryotic species description combining transcriptomic, DNA barcoding and micro-CT imaging data - Biodiversity Data Journal 1: e1013 (28 October 2013) https://doi.org/10.3897/BDJ.1.e1013
Figure 21. - Eupolybothrus cavernicolus Komerički & Stoev sp. n., paratype, 3D model, volume rendering, created with CTVox, virtual rotation and dissection. Movie available at: YouTube.
Figure 22. from: Eupolybothrus cavernicolus Komerički & Stoev sp. n. (Chilopoda: Lithobiomorpha: Lithobiidae): the first eukaryotic species description combining transcriptomic, DNA barcoding and micro-CT imaging data - Biodiversity Data Journal 1: e1013 (28 October 2013) https://doi.org/10.3897/BDJ.1.e1013
Figure 22. - Movie of Eupolybothrus cavernicolus Komerički & Stoev sp. n., holotype, filmed ex-situ in a plastic container. Movie available at: YouTube.
Comparison of Fixed Single Cell RNA-seq Methods to Enable Transcriptome Profiling of Neutrophils in Clinical Samples
<p>Monitoring neutrophil gene expression is a powerful tool for understanding disease mechanisms, developing new diagnostics, therapies and optimizing clinical trials. Neutrophils are sensitive to the processing, storage and transportation steps that are involved in clinical sample analysis. This study is the first to evaluate the capabilities of technologies from 10X Genomics, PARSE Biosciences, and HIVE (Honeycomb Biotechnologies) to generate high-quality RNA data from human blood-derived neutrophils. Our comparative analysis shows that all methods produced high quality data, importantly capturing the transcriptomes of neutrophils. 10X FLEX cell populations in particular showed a close concordance with the flow cytometry data. Here, we establish a reliable single-cell RNA sequencing workflow for neutrophils in clinical trials: we offer guidelines on sample collection to preserve RNA quality and demonstrate how each method performs in capturing sensitive cell populations in clinical practice.</p> <p><strong>This dataset includes the FACS, 10X 3', Parse, 10X Flex, and Hive data and analysis.</strong></p>
Supplementary information associated with a "Whole-Organism Integrated DNA Methylation and Transcriptomics Analysis of Butterfly Metamorphosis".
<p>Supplementary information, annotation and code related to the manuscript studying <em>Bicyclus anynana</em> development entitled "Whole-Organism Integrated DNA Methylation and Transcriptomics Analysis of Butterfly Metamorphosis".</p>
stFormer: a foundation model for spatial transcriptomics
<p>stFormer incorporates ligand genes within the spatial niche into transformer encoder of single-cell transcriptomics, and outputs gene embeddings specific to the intracellular context and spatial niche. These gene representations can serve as input of various downstream applications, including cell clustering, cell type prediction, gene function prediction, and <em>in silico</em> perturbation analysis of ligand-receptor interaction.</p> <p>The model architecture is designed for ST data resolved at the single-cell level. We propose a biased cross-attention method to enable the model to do learning with single-cell resolution on low-resolution, whole-transcriptome Visium data, which is a widely available spatial resource.</p> <p>We assembled a pretraining corpus comprising ~4.1 million spatial samples from public human Visium datasets, spanning diverse tissues, development stages, and disease states. After pretraining, stFormer is compatible with both single-cell and spot resolution ST data.</p>
Single Cell RNA Transcriptomics of Mantle Cell Lymphoma Reveals the Presence of Treatment-Resistant Subclones at the Time of Diagnosis - Supplementary Data
<p><strong>Supplementary Table 4.</strong> Results of optical genomic mapping for patient P009. The table lists genomic aberrations shared for diagnosis and relapse and those exclusive at both timepoints.</p> <p><strong>Supplementary Table 5.</strong> <strong>Sheet A:</strong> Results of differential gene expression analysis between relapse and diagnosis MCL cells of four patients (P009, P022, P027 and P087) performed using Wilcoxon rank-sum test. Only genes with adjusted p-value < 0.01, absolute log2 fold change > 1, and expression in at least 25% of cells in the upregulated group are included. <strong>Sheet B: </strong>Results of GO biological process enrichment analysis performed using clusterProfiler on upregulated and downregulated genes from each patient comparison. Multiple testing correction was performed using the Benjamini-Hochberg method. Only terms with q-value < 0.01 are shown.</p> <p><strong>Supplementary Table 6.</strong> Proportions of cells at four cell cycle phases (G0, G1, S, and G2M) at diagnosis (DG) and their changes after relapse (REL) in four aggressive MCL patients. Statistical analysis was performed using chi-square test.</p> <p><strong>Supplementary Table 7. </strong>Characterization of lymphoma sub-clones detected using CNV inference. <strong>Sheet A: </strong>Cell counts and proportions (prop) relative to total MCL cells in each subclone at diagnosis (DG) and relapse (REL). prop_FC – proportion fold change at relapse compared to diagnosis (calculated as prop_REL/prop_DG for expanding clones, or prop_DG/prop_REL for contracting clones). Subclone labels indicate putative treatment sensitivity: "Sens" denotes subclones that contracted or disappeared at relapse (suggesting chemotherapy sensitivity), while "Res" denotes subclones that expanded at relapse (suggesting chemotherapy resistance). <strong>Sheet B:</strong> CNV profiles of MCL subclones identified through inferCNV analysis. Each row specifies chromosomal coordinates (chr, start, end), copy number state (cn), cytogenetic location (cytobands), and genes within altered regions. Copy number states: cn=1 (deletion), cn=2 (normal), cn=3+ (amplification).</p> <p><strong>Supplementary Table 8.</strong> Differential gene expression analysis between resistant and sensitive MCL subclones. <strong>Sheet A:</strong> Summary of pairwise subclone comparisons. For each comparison between resistant (Res) and sensitive (Sens) subclones, the table reports counts of total, upregulated and downregulated differentially expressed genes and their ratio, enriched Gene Ontology (GO) terms and Hallmark gene sets in each direction. <strong>Sheet B:</strong> Complete list of differentially expressed genes from all pairwise subclone comparisons. Each row represents a single gene with statistical metrics including p-value, adjusted p-value, average log2 fold change (avg_log2FC), expression percentages in each subclone (pct.1, pct.2), regulatory direction (up/down), and gene description. <strong>Sheet C:</strong> Gene Ontology (GO) enrichment analysis results for differentially expressed genes. Only significantly enriched (q-value < 0.05) biological processes are shown with enrichment statistics including gene ratio, background ratio, fold enrichment, z-score, adjusted p-values, and lists of genes contributing to each enriched term. <strong>Sheet D: </strong>Hallmark gene set enrichment analysis (GSEA) results identifying coordinated expression programs differentially active between resistant and sensitive subclones. Results include normalized enrichment scores (NES), statistical significance, leading edge metrics, and core enrichment genes for each pathway.</p> <p><strong>Supplementary Table 9.</strong> Somatic variants in P069 samples. The variants were identified using a consensus approach integrating three variant callers (Mutect2, VarScan2, and Strelka2) and filtered using SomaticSeq with a PASS threshold score of 0.5. The table includes sample identifiers, genomic coordinates (hg38), variant allele frequencies (VAF) and genotypes (GT) for matched normal and tumor samples, sequencing depth (DP), and comprehensive functional annotations generated by Funcotator using GENCODE and HGNC databases. Key annotation fields include gene symbols, variant classifications, transcript information, protein changes, and gene ontology details. Only variants passing consensus filtering criteria with VAF ≥1% for heterozygous and ≥85% for homozygous calls are included.</p> <p><strong>Supplementary Data Object 1. </strong>SingleCellExperiment object with 57751 cells post-QC and 36601 genes. Data columns include sample, patient, timepoint, compartment, cell type annotation (cell_type_manual), cell cycle phase (tricyclePhase), tumor subclones (subclone_label).</p>
Characterization of leaf transcriptome in a tropical tree species, Shorea curtisii, over a flowering season
<p><span>General flowering (GF) is a synchronous flowering event in the Southeast Asian tropical rainforests that occurs at irregular intervals of multiple years. The unpredictable intervals of GF raise conservation concerns for these under-researched forests with rich economically and ecologically important species. In this study, the leaf transcriptome of a GF species, <em>Shorea</em> <em>curtisii</em> obtained from three time points – before and after floral initiation, and post flowering stage – was sequenced. We assembled 243,759,478 sequencing reads into 39,943 non-redundant unigenes including 677 putative homologs of <em>Arabidopsis</em> <em>thaliana</em> flowering-related genes. Differential expression analysis conducted on pairwise comparisons of the time points identified 930 differentially expressed unigenes, which includes 17 flowering-related homologs. The differential expression of unigenes with significant enrichments of functions related to drought corroborated the involvement of drought as an environmental cue for GF. The outcomes of this study offer an insight into the conservation of floral regulatory genes and pathways in Shorea and could be used as a model to better understand the floral initiation cues and regulation of GF trees.</span></p>
Data from "FICTURE: Scalable segmentation-free analysis of sub-micron resolution spatial transcriptomics"
Open the record for dataset details and reuse information.
Spatial Transcriptomics in HCC
<p>The morbidity of Hepatocellular carcinoma (HCC) is highest in individuals with chronic liver diseases (CLD). However, the effects of cell composition on the progression of CLDs to HCC remain elusive. To gain a better understanding of the spatial distribution of cells and their interactions, we created spatial transcriptome data from two HCC and their normal adjacent FFPE tissues using the 10x visium platform. We processed the data using cellRanger and mapped it to the Human Hg38 reference genome with GRCh38.p3 annotation. All data generated by cellRanger is provided here</p>
Nematostella vectensis full length opsin sequences and transcriptomes
<p>Opsins are the primary proteins responsible for light detection in animals. Cnidarians (jellyfish, sea anemones, corals) have diverse visual systems that have evolved in parallel with bilaterians (squid, flies, fish) for hundreds of millions of years. Medusozoans (e.g. jellyfish, hydroids) have evolved eyes multiple times, each time independently incorporating distinct opsin orthologs. Anthozoans (e.g. corals, sea anemones,) have diverse light-mediated behaviors and, despite being eyeless, exhibit more extensive opsin duplications than medusozoans. To better understand the evolution of photosensitivity in animals without eyes we increased anthozoan representation in the phylogeny of animal opsins and investigated the large but poorly characterized opsin family in the sea anemone <em>Nematostella</em> <em>vectensis</em>. We analyzed genomic and transcriptomic data from 16 species of cnidarians to generate a large opsin phylogeny (708 sequences) with the largest sampling of anthozoan sequences to date. We identified 29 opsins from <em>N. vectensis</em> (NvOpsins) with high confidence, using transcriptomic and genomic datasets. We found that lineage-specific opsin duplications are common across Cnidaria, with anthozoan lineages exhibiting among the highest numbers of opsins in animals. To establish the putative photosensory function of NvOpsins, we identified canonically conserved protein domains and amino acid sequences essential for opsin function in other animal species. We show high sequence diversity among NvOpsins at sites important for photoreception and transduction, suggesting potentially diverse functions. We further examined the spatiotemporal expression of NvOpsins and found both dynamic expression of opsins during embryonic development and sexually dimorphic opsin expression in adults. These data show that lineage-specific duplication and divergence have led to expansive diversity of opsins in eyeless cnidarians, suggesting opsins from these animals may exhibit novel biochemical functions. The variable expression patterns of opsins in <em>N. vectensis </em>suggest opsin gene duplications allowed for a radiation of unique sensory cell types with tissue- and stage-specific functions. This diffuse network of distinct sensory cell types could be an adaptive solution for varied sensory tasks experienced in distinct life history stages in anthozoans.</p>
STmut: a framework for visualizing somatic alterations in spatial transcriptomics data of cancer
<p>Scripts generating figures of the paper titled "STmut: a framework for visualizing somatic alterations in spatial transcriptomics data of cancer".</p>
Transcriptome analysis of Drosophila suzukii reveals molecular mechanisms conferring pyrethroid and spinosad resistance
<p class="MsoNormal"><em>Drosophila suzukii</em> possess a serrated ovipositor that enables them to lay eggs in soft-skinned, ripening fruits, making this insect<em> </em>a serious threat to berry production. Since its 2008 introduction into North America, growers have used insecticides as the primary approach for <em>D. suzukii</em> management, resulting in detections of insecticide resistance in this pest. This study sought to identify the molecular mechanisms conferring insecticide resistance in these resistant populations. We sequenced the transcriptomes of two pyrethroid- and two spinosad-resistant isogenic lines. In both pyrethroid-resistant lines and one spinosad-resistant line, we identified overexpression of metabolic genes that are implicated in resistance in other insect pests. In the other spinosad-resistant line, we observed an overexpression of cuticular genes that have been linked to resistance. Our findings enabled the development of molecular diagnostics that we used to confirm persistence of insecticide resistance in California. To validate these findings, we leveraged <em>D. melanogaster </em>mutants deficient in either metabolic or cuticular genes that were upregulated in resistant <em>D. suzukii </em>to demonstrate that these genes are involved in promoting resistance. This study is the first to characterize the molecular mechanisms of insecticide resistance in <em>D. suzukii</em> and provides insights into how current management practices can be optimized.</p> <p class="MsoNormal"> </p>
Data from: Mouse gingival single cell transcriptomic atlas identified a novel fibroblast subpopulation activated to guide oral barrier immunity in periodontitis
<p>Periodontitis, one of the most common non-communicable diseases, is characterized by chronic oral inflammation and uncontrolled tooth supporting alveolar bone resorption. Its underlying mechanism to initiate aberrant oral barrier immunity has yet to be delineated. Here, we report a unique fibroblast subpopulation activated to guide oral inflammation (AG fibroblasts) identified in a single-cell RNA sequencing gingival cell atlas constructed from the mouse periodontitis models. AG fibroblasts localized beneath the gingival epithelium and in the cervical periodontal ligament responded to the ligature placement and to the discrete topical application of Toll-like receptor stimulants to mouse maxillary tissue. The upregulated chemokines and ligands of AG fibroblasts linked to the putative receptors of neutrophils in the early stages of periodontitis. In the established chronic inflammation, neutrophils together with AG fibroblasts appeared to induce type 3 innate lymphoid cells (ILC3s) that were the primary source of interleukin-17 cytokines. The comparative analysis of <em>Rag2-/-</em> and <em>Rag2gc-/-</em> mice suggested that ILC3 contributed to the cervical alveolar bone resorption interfacing the gingival inflammation. We propose that the AG fibroblast–neutrophil–ILC3 axis as a previously unrecognized mechanism which could be involved in the complex interplay between oral barrier immune cells contributing to pathological inflammation in periodontitis.</p>
Salpa genome and developmental transcriptome analyses reveal molecular flexibility enabling reproductive success in a rapidly changing environment
<p>Ocean warming favors pelagic tunicates, such as salps, that exhibit increasingly frequent and rapid population blooms, impacting trophic dynamics and composition and human marine-dependent activities. Salp blooms are a result of their successful reproductive life history, alternating seasonally between asexual and sexual protogynous (i.e. sequential) hermaphroditic stages. While predicting future salp bloom frequency and intensity relies on an understanding of the transitions during the sexual stage from female through parturition and subsequent sex change to male, these transitions have not been explored at the molecular level. Here we report the development of the first complete genome of S. thompsoni and the North Atlantic sister species S. aspera. Genome and comparative analyses reveal an abundance of repeats and G-quadruplex (G4) motifs, a highly stable secondary structure, distributed throughout both salp genomes, a feature shared with other tunicates that perform alternating sexual-asexual reproductive strategies. Transcriptional analyses across sexual reproductive stages for S. thompsoni revealed genes associated with male sex differentiation and spermatogenesis are expressed as early as birth and before parturition, inconsistent with previous descriptions of sequential sexual differentiation in salps. Our findings suggest salp are poised for reproductive success at birth, increasing the potential for bloom formation as ocean temperatures rise.</p>
Gleaning Euglenozoa-specific DNA polymerases in public single-cell transcriptome data
<p><span>Multiple genes encoding family A DNA polymerases (famA DNAPs), which are evolutionary relatives of DNA polymerase </span><span>I</span><span> (Pol</span><span>I</span><span>) in bacteria and phages, have been found in eukaryotic genomes, and many of these proteins are used mainly in organelles. Among members of the phylum Euglenozoa, distinct types of famA DNAP, Pol</span><span>I</span><span>A, Pol</span><span>I</span><span>BCD+, POP, and eugPolA, have been found. It is intriguing how the suite of famA DNAPs had been established during the evolution of Euglenozoa, but the DNAP data have not been sampled from the taxa that sufficiently represent the diversity of this phylum. In particular, little sequence data were available for basal branching species in Euglenozoa until recently. Thanks to the single-cell transcriptome data from symbiontids and phagotrophic euglenids, we have an opportunity to cover the "hole" in the repertory of famA DNAPs in the deep branches in Euglenozoa. The current study identified 16 new famA DNAP sequences in the transcriptome data from 33 phagotrophic euglenids and two symbiontids, respectively. Based on the new famA DNAP sequences, the updated diversity and evolution of famA DNAPs in Euglenozoa are discussed.</span></p>
Transcriptome Analysis from a co-culture of Skeletonema marinoi and Prymnesium parvum
<p>This Zenodo entry refers to a study using metabolomics and transcriptomic data analysis to analyse chemical interactions between two microalgae: <em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em></p> <p>p_parvum_Eukaryota_augustus_gene_prediction.faa file contains the predicted protein sequences from the transcriptome of <em>Prymnesium parvum</em> using Augustus. This list is generated from a non-restrictive Busco Analysis.</p> <p>s_costatum_Stramenopiles_augustus_gene_prediction.faa file contains the predicted protein sequences from the transcriptome of <em>Skeletonema marinoi </em>using Augustus. This list is generated from a restrictive Busco Analysis.</p> <p>The files p_parvum_deseq2_results_all.csv and s_marinoi_deseq2_results_all.csv contain differential gene expression analysis, while p_parvum_deseq2_result_sorted_regulated_with_proteins.csv and s_marinoi_deseq2_result_sorted_regulated_with_proteins.csv contain only upregulated protein sequences in co-culture conditions.</p> <p>The genes_read.R script is used to generate the p_parvum_deseq2_result_sorted_regulated_with_proteins.csv and s_marinoi_deseq2_result_sorted_regulated_with_proteins.csv. The code for analysis from RAW reads to differential gene expression analysis is available on: <a href="https://github.com/Bioinformatics-Core-Facility-Jena/SE20220705_97">https://github.com/Bioinformatics-Core-Facility-Jena/SE20220705_97</a>. The RAW files are available on BioProject: PRJNA1006530</p> <p> </p> <p> </p>
Data from: anterior pituitary transcriptomics following a high fat diet: impact of oxidative stress on cell metabolism
<p>Anterior pituitary cells are highly active with regards to protein synthesis and secretion, processes which depend heavily on mitochondrial ATP production and functional endoplasmic reticula. It is well known that obesity adds an allostatic overload to tissues, requiring them to adapt to inflammation and oxidative stress. Therefore, we hypothesized that the pituitary is highly vulnerable to the stress of high fat diet-induced weight gain. In this study, we utilized a 10-15 week high fat diet (HFD, 60%) plus a thermoneutral housing paradigm, testing both male and female FVB.129P mice. We quantified serum hormones and cytokines, characterized the metabolic phenotype, and defined changes in the pituitary transcriptome using single-cell RNA-seq. Weight gain was significant by 3 weeks in HFD mice, and by 10 weeks all HFD groups had gained 20 g. HFD females (15 weeks) had increased energy expenditure and decreased activity. All HFD groups showed increases in serum leptin, Il-6, resistin, MCP-1, and TNFα. HFD males had increased insulin; both HFD males and females had increased TSH, and HFD females had decreased serum prolactin and growth hormone (GH) pulse amplitude. Pituitary scRNA-seq revealed modest or no changes in pituitary cell gene expression in the different cell types from HFD males after 10 or 15 weeks or HFD females after 10 weeks. However, females exposed to a HFD for 15 weeks showed significant numbers of differentially expressed genes in lactotropes and stem cells. Pathway analyses identified a reduction in pathways that supported protein translation, ribosome biogenesis, and oxidative phosphorylation, indicating mitochondrial dysfunction. Collectively, these studies reveal that pituitary cells from males are more resilient to the oxidative stress of obesity than females and identify the most vulnerable pituitary cell populations in females.</p>
Microsatellite exploration in the climbing hydrangea (Hydrangea petiolaris Siebold & Zucc.) transcriptome: A resource for population genetics and functional genomics
<p><strong>Background</strong></p> <p><em>Hydrangea petiolaris</em> Siebold & Zucc., also known as climbing hydrangea, is a vine native to the woodlands of Korea, Japan, and Sakhalin Island. It is an economically important ornamental plant with fertile and sterile flowers. Despite the recent increase in <em>Hydrangea</em> breeding and interest in germplasm conservation, relatively little is known about the relationships between <em>Hydrangea</em> species.</p> <p><strong>Results</strong></p> <p>We employed Illumina NovaSeq 6000 sequencing technology to generate a total of 39,945,480 reads, which were assembled into 137,715 contigs. A total of 109,092 filtered transcripts were used to identify microsatellites, and 54,587 microsatellite repeat motifs were revealed within 33,556 contigs. Among these, 4,510 transcripts harboring microsatellites had Gene Ontology annotations, and numerous microsatellite-containing transcripts exhibited associations with genes, including those encoding PPR proteins, aldehyde dehydrogenases, and bHLH transcription factors, related to the <em>restorer of fertility</em> (<em>Rf</em>) genes, which play a critical role in restoring fertility in plants with cytoplasmic male sterility. Validation of transcriptomic SSR markers demonstrated high levels of polymorphism, revealing significant genetic diversity within populations. However, null alleles and deviations from Hardy‒Weinberg equilibrium at specific loci suggested caution in genotyping accuracy. Population-level analysis disclosed high genetic differentiation and distinct clustering of populations.</p> <p><strong>Conclusions</strong></p> <p>The <em>H</em>. <em>petiolaris</em> transcriptomic SSR markers offer valuable insight for gaining insights into the population genetics, evolutionary background, and practical strategies for conserving this species. Moreover, the microsatellite loci we have identified and their associations with annotated genes hold promise for creating functional markers specifically tailored for <em>H</em>. <em>petiolaris</em>. These markers include valuable resources of transcriptomic SSR markers suitable for population genetic investigations and have a reasonable degree of applicability across different taxa.</p>
Spotiphy enables single-cell spatial whole transcriptomics across the entire section
<p><span>Spatial transcriptomics (ST) has advanced our understanding of tissue regionalization by enabling the visualization of gene expression within whole tissue sections, but the approach remains dogged by the challenge of achieving single-cell resolution without sacrificing whole genome coverage. Here we present Spotiphy (<u>Spot</u> <u>i</u>mager with <u>p</u>seudo single-cell resolution <u>h</u>istolog<u>y</u>), a novel computational toolkit that transforms sequencing-based ST data into single-cell-resolved whole-transcriptome images. In evaluations with Alzheimer’s disease (AD) and normal </span><span>mouse brains, </span><span>Spotiphy</span><span> delivers the most precise cellular compositions. For the first time, </span><span>Spotiphy reveals</span><span> novel astrocyte </span><span>regional specification in mouse brains. It distinguishes sub-populations of DAM (Disease-Associated Microglia) located in different AD mouse brain regions. Spotiphy also identifies multiple spatial domains as well as changes in the patterns of tumor-tumor microenvironment interactions using human breast ST data. Spotiphy enables visualization of cell localization and gene expression in tissue sections, offering key insights into the function of complex biological systems.</span></p>
Leaf and shoot apical meristem transcriptomes of quinoa (Chenopodium quinoa Willd.) in response to photoperiod and plant development
<p>Our study focused on identifying key genes regulating flowering time and photoperiod response in quinoa. We examined the timing of photoperiod-induced floral transition and analyzed transcriptomes in photoperiod-sensitive and -insensitive quinoa accessions' leaf and shoot apical meristems. Histological analysis showed that floral transition in quinoa initiates two to three weeks after sowing. We found four groups of differentially expressed genes annotated in the QQ74-V2 reference genome that responded to plant development and floral transition, (i) 222 genes responsive to photoperiod in leaves, (ii) 1,812 genes differentially expressed between accessions under long-day conditions in leaves, (iii) 57 genes responding to developmental changes between weeks under short-day conditions in leaves, and (iv) 911 genes responding to floral transition within the shoot apical meristem. Interestingly, among numerous candidate genes, two<em> </em>putative <em>FT</em> orthologues and others (e.g., <em>SOC1</em>, <em>COL</em>, <em>AP1</em>) have been reported as key regulators of flowering time in other species. Additionally, we used co-expression networks to associate novel transcripts to a putative biological process based on the annotated genes within the same co-expression cluster. The candidate genes in this study would benefit quinoa breeding by identifying and integrating their beneficial haplotypes in crossing programs to develop adapted cultivars to diverse environmental conditions.</p> <p>We examined the timing of photoperiod-induced floral transition and analyzed transcriptomes in photoperiod-sensitive and -insensitive quinoa accessions' leaf and shoot apical meristems. Histological analysis revealed floral transition initiating two to three weeks after sowing. Differentially expressed genes were categorized in the QQ74-V2 reference genome, encompassing 222 genes responsive to photoperiod in leaves, 1,812 genes under long-day conditions, 57 genes during short-day conditions, and 911 genes during floral transition in shoot apical meristems. Notably, among numerous candidates, two putative FT orthologues and others (e.g., SOC1, COL, AP1) implicated in flowering time regulation in various species were identified. Co-expression networks associated novel transcripts with putative biological processes based on annotated genes in the same cluster. The candidate genes identified have potential applications in quinoa breeding, facilitating the incorporation of beneficial haplotypes in crossbreeding programs to develop cultivars adapted to diverse environmental conditions.</p>
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.