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226 results for “proteomics data”
Olink proteomic data for RESERVE-U-1-EBB and RESERVE-U-2-TOR
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Proteomics data of leaves of two cotton genotypes under heat stress
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Data from: Potential of MALDI−TOF MS-based proteomic fingerprinting for species identification of Cnidaria across classes, species, regions and developmental stages
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Supplementary data for: Effects of thermal acclimation on the proteome of the planarian Crenobia alpina from an alpine freshwater spring
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Data from: Serum proteome characterizes sequence of CNS injury in pre-symptomatic multiple sclerosis
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MALDI-TOF MS data: Species delimitation of Hexacorallia and Octocorallia around Iceland using nuclear and mitochondrial DNA and proteome fingerprinting
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Data for: Getting over it? A proteomic analysis of mechanisms driving multigenerational acclimation to organic ultraviolet filters in Daphnia magna
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Data from: Dynamics of the CD9 interactome during bacterial infection of epithelial cells by proximity labelling proteomics
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Data from: Evaluating species richness using proteomic fingerprinting and DNA-barcoding – a case study on meiobenthic copepods from the Clarion Clipperton Fracture Zone
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Data from: Interacting proteome of PtDAL10 and PtDAL1 in Pinus tabuliformis
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Data from: Transcriptome and exosome proteome analyses provide insights into the mantle exosome involved in nacre color formation of pearl oyster Pinctada fucata martensii
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Data from: Proximity-labeling proteomics reveals remodeled interactomes and altered localization of pathogenic SHP2 variants
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Data from: Validation of a murine proteome-wide phage display library for identification of autoantibody specificities
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Salmonella enterica serovar Enteritidis EN1660 proteome spectral data
<p>H-NS is a nucleoid structuring protein and global repressor of virulence and horizontally-acquired genes in bacteria. H-NS can interact with itself or with homologous proteins, but protein family diversity and regulatory network overlap remain poorly defined. Here we present a comprehensive phylogenetic analysis that revealed deep-branching clades, dispelling the presumption that H-NS is the progenitor of varied molecular backups. With few exceptions, clades are either entirely chromosomal or entirely plasmid-encoded proteins. On chromosomes, StpA and newly discovered HlpP are core genes in specific genera, whereas Hfp and newly discovered HlpC are sporadically distributed. Six clades of <u>H</u>-NS <u>p</u>lasmid <u>p</u>roteins (Hpp) exhibit ancient and dedicated associations with plasmids, including three clades with fidelity for plasmid incompatibility groups H, F, or X. A proliferation of H-NS homologs in Erwiniaceae includes the first observation of potentially co-dependent H-NS forms. Conversely, the observed diversification of oligomerization domains may facilitate stable co-existence of divergent homologs in a genome. Transcriptomic and proteomic analysis of regulatory crosstalk in <i>Salmonella </i>revealed networked and hierarchical control of H-NS homologs. We also discovered that H-NS is both a repressor and activator of <i>Salmonella</i> Pathogenicity Island 1 gene expression, and both modes are restored by Sfh (HppH) in the absence of H-NS.</p>
Data from: A proteomics approach for the identification of cullin-9 (CUL9) related signaling pathways in induced pluripotent stem cell models
<p>CUL9 is a non-canonical and poorly characterized member of the largest family of E3 ubiquitin ligases known as the Cullin RING ligases (CRLs). Most CRLs play a critical role in developmental processes, however, the role of CUL9 in neuronal development remains elusive. We determined that deletion or depletion of CUL9 protein causes aberrant formation of neural rosettes, an in vitro model of early neuralization. In this study, we applied mass spectrometric approaches in human pluripotent stem cells (hPSCs) and neural progenitor cells (hNPCs) to identify CUL9 related signaling pathways that may contribute to this phenotype. Through LC-MS/MS analysis of immunoprecipitated endogenous CUL9, we identified several subunits of the APC/C, a major cell cycle regulator, as potential CUL9 interacting proteins. Knockdown of the APC/C adapter protein FZR1 resulted in a significant increase in CUL9 protein levels, however, CUL9 does not appear to affect protein abundance of APC/C subunits and adapters or alter cell cycle progression. Quantitative proteomic analysis of CUL9 KO hPSCs and hNPCs identified protein networks related to metabolic, ubiquitin degradation, and transcriptional regulation pathways that are disrupted by CUL9 deletion in both hPSCs and hNPCs. The results of our study build on current evidence that CUL9 may have unique functions in different cell types potentially contributing to the difficulty of identifying CUL9 substrates.</p> <p><strong>Information on data/files</strong>:</p> <p><em>Please first unzip Figure_4_CUL9-IP-LCMSMS-data.zip and Figure_7_iTRAQ-data.zip, then follow the description below.</em></p> <p>CUL9 immunoprecipitation from whole lysates collected for hPSCs were analyzed using LC/MS-MS. IgG was used as a control to determine proteins specifically enriched in the CUL9 IP. This data correlates to Figure 4 of the associated manuscript.</p> <p>Initial CUL9 immunoprecipitation was performed by VG and analyzed by LC-MS/MS at UNC.</p> <p>Fig4-LCMSMS_IPCUL9_Replicate1_UNC</p> <p>Two more immunoprecipitations were performed by VG and analyzed by LC-MS/MS at Vanderbilt University MSRC Proteomics Core. The first run (replicate 1) was used to produce the STRING figure in the associated manuscript, as well as the volcano plot in Supplemental Figure 8.</p> <p>Two Scaffold files contain raw data and our analysis parameters:</p> <ul> <li>Fig4-LCMSMS_IPCUL9_Replicate2_Vanderbilt</li> <li>Fig4-LCMSMS_LCMSMS_IPCUL9_Replicate3_Vanderbilt</li> </ul> <p>Excel files exported from the above Scaffold files contain the raw data in excel format including spectral counts, peptide counts, protein probability, and detailed raw data as it pertains to each identified protein. See these data sets in the folders below:</p> <ul> <li>Fig4-LCMSMS_IPCUL9_Run2_Vanderbilt_CompleteDataSet</li> <li>Fig4-LCMSMS_IPCUL9_Run3_Vanderbilt_CompleteDataSet</li> </ul> <p>CUL9 KO clones were used to identify proteins increased or decreased compared to parental wild-type cell lines using iTRAQ. This data correlates to Figure 8 of the associated manuscript. Two iTRAQ experiments were performed to identify proteins altered in CUL9 KO iPSCs, neural stem cells (NSCs), and NPCs. Each set of experiments was duplicated – each in a different isogenic CUL9 KO clone (Clone 20 or Clone B)</p> <p><strong>iTRAQ labeling of experiment one is as follows:</strong></p> <ol> <li>Label 115: Parental WT NSCs</li> <li>Label 117: CUL9 KO Clone 20 or B NSCs</li> <li>Label 114: Parental WT NPCs</li> <li>Label 116: CUL9 KO Clone 20 or B NPCs</li> </ol> <p>Files containing raw and analyzed data of experiment one are labeled as follows:</p> <ul> <li>Fig7_Experiment1_Clone 002_compared-to-NSC-WT</li> <li>Fig7_Experiment1_Clone001-compared-to-NSC-WT</li> <li>Fig7_Experiment1_Clone001iPSC_compared-to-iPSCWT</li> <li>Fig7_Experiment1_Clone002_compared-to-iPSCWT</li> </ul> <p><strong>iTRAQ labeling of experiment two is as follows:</strong></p> <p>For Clone 20:</p> <ol> <li>Label 115: Parental WT NSCs</li> <li>Label 117: CUL9 KO Clone 20 or B NSCs</li> <li>Label 114: Parental WT iPSCs</li> <li>Label 116: CUL9 KO Clone 20 or B iPSCs</li> </ol> <p>Files containing raw and analyzed data of experiment two are labeled as follows:</p> <ul> <li>Fig7_Experiment2_Clone001NPC_Compared-to-NPC-WT</li> <li>Fig7_Experiment2_Clone001NPC_Compared-to-NSC-WT</li> <li>Fig7_Experiment2_Clone002NPC_Compared-to-NPC-WT</li> <li>Fig7_Experiment2_Clone002NPC_Compared-to-NSC-WT</li> </ul> <p>Please note that the first tab of each excel document contains the full raw data set before analysis. All other tabs contain analyzed data comparing the proteins identified in two cell lines. Analyzed tabs are labeled to indicate which cell lines are being compared. Please note that the CUL9 isogenic clones Clone 20=Clone#1 and Clone B=Clone#2 as referenced in the associated manuscript.</p> <p>Detailed information about the protocols used for collection and analysis of this data can be found in the supplemental information within the associated manuscript.</p>
Data from: Quantitative proteomics reveals key roles for post-transcriptional gene regulation in the molecular pathology of FSHD
DUX4 is a transcription factor whose misexpression in skeletal muscle causes facioscapulohumeral muscular dystrophy (FSHD). While DUX4's transcriptional activity has been extensively characterized, the DUX4-induced proteome remains undescribed. Here, we report concurrent measurement of RNA and protein levels in DUX4-expressing cells via RNA-seq and quantitative mass spectrometry. DUX4 transcriptional targets were robustly translated, confirming the likely clinical relevance of proposed FSHD biomarkers. However, a multitude of mRNAs and proteins exhibited discordant expression changes upon DUX4 expression. Our dataset revealed unexpected proteomic, but not transcriptomic, dysregulation of diverse molecular pathways, including Golgi apparatus fragmentation, as well as extensive post-transcriptional buffering of stress response genes. Key components of RNA degradation machineries, including UPF1, UPF3B, and XRN1, exhibited suppressed protein, but not mRNA, levels, explaining the build-up of aberrant RNAs that characterizes DUX4-expressing cells. Our results provide a resource for the FSHD community and illustrate the importance of post-transcriptional processes to DUX4-induced pathology.
Data from: Proteomic analysis of barley mapping population subjected to drought identifies proteins with genotype×environment interaction and pQTLs
Drought is one of the major abiotic stresses negatively influencing crop yield and is a serious issue in modern agriculture. To achieve further substantial crop improvements in terms of drought resistance it is necessary to incorporate scientific results into breeding strategies. However, most of the data on plant drought responses arises mostly from small-scale studies and, therefore, its use in breeding programs is very limited. Here, we present the results of the large-scale proteomic analysis performed on barley recombinant inbred lines (RILs) and their parental genotypes subjected to drought, applied shortly before tillering. The conducted proteomic analyses enabled us to monitor drought-induced proteome changes in leaf and root tissue, and to identify proteins that responded to drought in a genotype-specific manner, for instance Rubisco activase, luminal binding protein, phosphoglycerate mutase, glutathione S-transferase, heat shock proteins as well as enzymes involved in phenylpropanoid biosynthesis. We also demonstrated feasibility of incorporating proteomic data resulting from large-scale study into genetic linkage analysis, which constitutes a fundament in biotechnology-driven breeding strategies.
Data from: Comparative proteomics of stenotopic caddisfly Crunoecia irrorata identifies acclimation strategies to warming
Species' ecological preferences are often deduced from habitat characteristics thought to represent more or less optimal conditions for physiological functioning. Evolution has led to stenotopic and eurytopic species, the former having decreased niche breadths and lower tolerances to environmental variability. Species inhabiting freshwater springs are often described as being stenotopic specialists, adapted to the stable thermal conditions found in these habitats. Whether due to past local adaptation these species have evolved or have lost intra-generational adaptive mechanisms to cope with increasing thermal variability has, to our knowledge, never been investigated. By studying how the proteome of a stenotopic species changes as a result of increasing temperatures we investigate if the absence or attenuation of molecular mechanisms is indicative of local adaptation to freshwater springs. An understanding of compensatory mechanisms is especially relevant as spring-specialists will experience thermal conditions beyond their physiological limits due to climate change. In this study, the stenotopic species Crunoecia irrorata (Trichoptera: Lepidostomatidae, Curtis 1834) was acclimated to 10, 15 and 20 °C for 168 h. We constructed a homology-based database, and via liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based shotgun proteomics identified 1358 proteins. Differentially abundant proteins and protein norms of reaction revealed candidate proteins and molecular mechanisms facilitating compensatory responses such as trehalose metabolism, tracheal system alteration, and heat shock protein regulation. A species-specific understanding of compensatory physiologies challenges the characterization of species as having narrow tolerances to environmental variability if that characterization is based on occurrences and habitat characteristics alone.
Data from: Venom-gland transcriptome and venom proteome of the Malaysian king cobra (Ophiophagus hannah)
Background: The king cobra (Ophiophagus hannah) is widely distributed throughout many parts of Asia. This study aims to investigate the complexity of Malaysian Ophiophagus hannah (MOh) venom for a better understanding of king cobra venom variation and its envenoming pathophysiology. The venom gland transcriptome was investigated using the Illumina HiSeq™ platform, while the venom proteome was profiled by 1D-SDS-PAGE-nano-ESI-LCMS/MS. Results: Transcriptomic results reveal high redundancy of toxin transcripts (3357.36 FPKM/transcript) despite small cluster numbers, implying gene duplication and diversification within restricted protein families. Among the 23 toxin families identified, three-finger toxins (3FTxs) and snake-venom metalloproteases (SVMPs) have the most diverse isoforms. These 2 toxin families are also the most abundantly transcribed, followed in descending order by phospholipases A 2 (PLA 2 s), cysteine-rich secretory proteins (CRISPs), Kunitz-type inhibitors (KUNs), and L-amino acid oxidases (LAAOs). Seventeen toxin families exhibited low mRNA expression, including hyaluronidase, DPP-IV and 5'-nucleotidase that were not previously reported in the venom-gland transcriptome of a Balinese O. hannah. On the other hand, the MOh proteome includes 3FTxs, the most abundantly expressed proteins in the venom (43 % toxin sbundance). Within this toxin family, there are 6 long-chain, 5 short-chain and 2 non-conventional 3FTx. Neurotoxins comprise the major 3FTxs in the MOh venom, consistent with rapid neuromuscular paralysis reported in systemic envenoming. The presence of toxic enzymes such as LAAOs, SVMPs and PLA 2 would explain tissue inflammation and necrotising destruction in local envenoming. Dissimilarities in the subtypes and sequences between the neurotoxins of MOh and Naja kaouthia (monocled cobra) are in agreement with the poor cross-neutralization activity of N. kaouthia antivenom used against MOh venom. Besides, the presence of cobra venom factor, nerve growth factors, phosphodiesterase, 5'-nucleotidase, and DPP-IV in the venom proteome suggests its probable hypotensive action in subduing prey. Conclusion: This study reports the diversity and abundance of toxins in the venom of the Malaysian king cobra (MOh). The results correlate with the pathophysiological actions of MOh venom, and dispute the use of Naja cobra antivenoms to treat MOh envenomation. The findings also provide a deeper insight into venom variations due to geography, which is crucial for the development of a useful pan-regional antivenom.
Data from: Invasion of Solanum tuberosum L. by Aspergillus terreus: a microscopic and proteomics insight on pathogenicity
Background: Aspergillus terreus is one of the most harmful filamentous fungal pathogen of humans, animals and plants. Recently, researchers have discovered that A. terreus can cause foliar blight disease in potato (Solanum tuberosum L.). We used light and scanning electron microscopy, and performed proteomics analysis in an attempt to dissect the invasion process of A. terreus in this important crop. Results: Microscopic study revealed that invasion of leaf tissue is marked by rapid germination of A. terreus phialidic conidia (PC) by 4 h after inoculation. By 8 h after inoculation, primary germ tubes from PC differentiated into irregular protuberance, often displayed stomata atropism, and failed to penetrate via the epidermal cells. Colonization of leaf tissues was associated with high rate of production of accessory conidia (AC). These analyses showed the occurrence of a unique opposing pattern of AC, tissue-specific and produced on melanized colonizing hyphae during the infection of leaf tissue. A significant proteome change hallmarked by differential expression of class I patatin, lipoxygenase, catalase-peroxidase complex, and cysteine proteinase inhibitor were observed during tuber colonization. These proteins are often involved in signal transduction pathways and crosstalk in pathogenic responses. Conclusion: A. terreus abundantly produced AC and multipolar germinating PC to invade potato leaf tissue. Additionally, A. terreus differentially induced enzymes in potato tuber during colonization which facilitates rapid disease development.
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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.