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Biotechnology Information raw264 7 transcriptome sequencing data
Raw264 7 Transcriptome Sequencing Data, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/transcriptomic+sequencing+data/base+bynational+centre+data+genome+house+in+produced/pm41926285-227-0-15
Average 86 stars, based on 1 article reviews
raw264 7 transcriptome sequencing data - by Bioz Stars, 2026-09
86/100 stars

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Article Title: Genome-wide analysis of flax bZIP genes using a T2T genome reveals abiotic stress roles
Article Snippet: transcriptome data in Flower tissue 30days, 20days, 10days and 5days after flowering , National Center for Biotechnology Information (NCBI) database ( https://www.ncbi.nlm.nih.gov/ ) , PRJNA833557.

Article Title: LAMPOX: A Portable and Rapid Molecular Diagnostic Assay for the Epidemic Clade IIb Mpox Virus Detection
Article Snippet: Sets of in-house primers (F3, B3, FIP, BIP, and Loops) were designed based on the analysis of sequences available from the National Centre for Biotechnology Information (NCBI) database.

Article Title: Genome-wide analysis of flax bZIP genes using a T2T genome reveals abiotic stress roles
Article Snippet: 8transcriptome data in torpedo_embryo, root, ovary, mature_embryo, heart_embryo, globular_embryo, cotylden_embryo, anther and seeds tissue , National Center for Biotechnology Information (NCBI) database ( https://www.ncbi.nlm.nih.gov/ ) , PRJNA663265.

Sequencing:

Article Title: Maternal immune activation perturbs intestinal niche through microbial glycerophospholipids and drives offspring behavioral abnormalities.
Article Snippet: • Maternal gut microbiota 16S rRNA sequencing data were provided and are publicly available at the National Center for Biotechnology Information Sequence Read Archive (SRA) database with accession Cell Reports 45, 117211, April 28, 2026 13 code PRJNA1159518 (https://www.ncbi.nlm.nih.gov/sra/?term= PRJNA1159518). .. RAW264.7 transcriptome sequencing data were provided and are publicly available at the National Center for Biotechnology Information SRA database with accession code PRJNA1345435 (https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA1345435). .. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (https://proteomecentral.proteomexchange.org) via the iProX partner repository with the dataset identifier PXD075246.

Article Title: Absence of detectable bovine leukemia virus miRNAs in human cancer small RNA-seq datasets.
Article Snippet: .. Addition ally, whole-genome and whole-transcriptome sequencing analysis of BCA samples, obtained from The Cancer Genome Atlas (TCGI, National Center for Biotechnology Information [NCBI]), failed to detect sequencing reads corresponding to proviral DNA or viral transcripts in these samples (15, 16). ..

Article Title: Sleep-aiding probiotic goat milk powder and preparation method thereof
Article Snippet: .. The measured sequence is compared and analyzed with the base sequence in the National Center for Biotechnology Information (NCBI) database, confirming that the strain is Limosilactobacillus fermentum. .. The base pair sequence is as follows: CCGAGGAAGGGCGGACGGGTGAATTACCAGTAGGTAACCTGGCCCGAAG CGGGGGGCTACCACCGGAAACCAATTGTAATTCCGCATAACAACGTTGT TCCCCAGAGTCCGAGTTAAAAAATGGGTTTTGGCTATCACTTTTGGATG GTCCCGCGGTGCATTAGCTAGTTGGTGGGGTAACGGCTCACCAAGGCGA TGATGCATAGCCGACTTGAGAGGGTAATCGGCCACAATGGGACTGAGAC ACGGCCCATACTCCTACGGGAGGCAGCAGTAGGGAATCTTCCACAATGG GCGCAAGTCTGATGGAGCAACGCCGCGTGAGTGAAGAAGGGTTTCGGCT CGTAAAACTCTGTTGTTAAAGAAGAACATATATGAGAGTAACTGTTCAT ACATTGACGGTATTTAACCAGAAAGCCACGGCTAACTACGTGCCAGCAG CCGCGGTAATACGTAGGTGGCAAGCGTTGTCCGGATTTATTGGGCGTAA AGCGAGTGCAGGCGGTTTTTTAAGTCTGATGTGAAAGCCTTCGGCTCAA CCGAAGAAGTGCATCGGAAACTGGAAAACTTGAGTGCAGAAGAGGGTAG TGGAACTCCATGTGTAGCGGTGGAAATGCGTAGATATATGGAAGAACAC CAGTGGCGAAGGCGGCTGTCTGGTCTGCAACTGACGCTGAGACTCGAAA GCATGGGTAGCGAACAGGATTAGATACCCTGGTAGTCCATGCCGTAAAC GATGAATGCTAAGTGTTGGAGGGTTTCCGCCCTTCAGTGCTGCAGCTAA CGCATTAAGCATTCCGCCTGGGGAGTACGGCCGCAAGGTTGAAACTCAA AGGAATTGACGGGGGCCCGCACAAGCGGTGGAGCATGTGGTTTAATTCG AAGCTACGCGAAGAACCTTACCAGGTCTTGACATCTTGCGCCAATCTTA GAGATAGGGCGTTTCCTTCGGGAACGCAATGACAGGTGGTGCATGGTTG TCGTCAGCTCGTGTCGTGAGATGTTGGGTTAAGTCCCGCAACGAGCGCA ACCCTTGTTATTAGTTGCCAGCATTAAGTTGGGCACTCTGGTGAGACTG CCGGTGACAAACCGGAGGAAGGTGGGGACGACGTCAGATCATCATGCCC CTTATGACCTGGGCTACACACGTGCTACAATGGATGGTACAACGAGTTG CGAACTCGCGAGGGCAAGCAAATCTCTTAAAACCGTTCTCAGTTCGGAC TGCAGGCTGCAACTCGCCTGCATGAAGTCGGAATCGCTAGTAATCGCGG ATCAGCATGCCGCGGTGAATACGTTCCCGGGCCTTGTACACACCGCCCA GTCACACCATGAGAGTTTGTAACACCCAAAGTCGG The strain is named Limosilactobacillus fermentum KD6 and deposited on Sep. 7, 2023 at the China Center for Type Culture Collection (CCTCC), Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, Hubei Province.

Produced:

Article Title: Comparative genomic analysis of Multi-Drug Resistance and Virulence Determinants of Escherichia coliSKN 649 and Staphylococcus ureilyticusSKN 217 isolated and characterized from milk and milk products in Anand, Gujarat, India
Article Snippet: Antimicrobial resistance (AMR) in dairy-associated pathogens presents a significant public health and food safety concern.. This study examined 100 raw milk and fermented milk (buttermilk) samples collected from cattle farms in Anand, Gujarat, India, between January 2022 and December 2023, to assess the AMR patterns and genetic determinants.. The bacterial isolates were identified using selective culturing and MALDI-TOF mass spectrometry, and their antibiotic susceptibility was determined through standard testing methods.

Expressing:

Article Title: Comprehensive identification and expression profiling of piRNA pathway genes in the Pacific oyster Crassostrea gigas.
Article Snippet: PIWI-interacting RNAs (piRNAs) and their associated proteins are key regulators of germline development and genome defense, but their roles in mollusks remain largely unexplored.. In this study, we systematically identified 28 piRNA pathway genes in the Pacific oyster Crassostrea gigas and characterized their genomic composition and expression profiles.. The oyster piRNA gene repertoire exhibits a mosaic-like architecture, combining deeply conserved components with lineage-specific features, including the presence of vertebrate-type transcription factors such as A-MYB, the absence of the insect-specific RDC complex, and the retention of the exonuclease MUT7, which has been lost in several vertebrate and insect lineages.



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Identification of core genes associated with macrophage immune training and heart failure. (A) Schematic overview of human-derived macrophage trained immunity model and <t>transcriptomic</t> profiling workflow ( GSE235897 ). (B) The volcano plot and (C) DEGs heatmap of hMDMs from trained (n=3) and untrained (n=3) samples in the macrophage-trained immunity dataset GSE235897 (|log2FC| ≥ 0.585, p < 0.05). (D) Sample clustering dendrogram of GSE135055 dataset based on gene expression profiles. (E) Scale-free topology fit index and (F) mean connectivity analysis across a range of soft-thresholding powers. (G) Cluster dendrogram of genes showing co-expression modules identified by WGCNA in database GSE135055 . (H) Module-trait heatmap values represent correlation coefficients between healthy controls and HF samples (* p < 0.05, ** p < 0.01). (I) Venn diagram showing the overlap among heart failure DEGs, trained-immunity DEGs, and WGCNA module genes.
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Identification of core genes associated with macrophage immune training and heart failure. (A) Schematic overview of human-derived macrophage trained immunity model and transcriptomic profiling workflow ( GSE235897 ). (B) The volcano plot and (C) DEGs heatmap of hMDMs from trained (n=3) and untrained (n=3) samples in the macrophage-trained immunity dataset GSE235897 (|log2FC| ≥ 0.585, p < 0.05). (D) Sample clustering dendrogram of GSE135055 dataset based on gene expression profiles. (E) Scale-free topology fit index and (F) mean connectivity analysis across a range of soft-thresholding powers. (G) Cluster dendrogram of genes showing co-expression modules identified by WGCNA in database GSE135055 . (H) Module-trait heatmap values represent correlation coefficients between healthy controls and HF samples (* p < 0.05, ** p < 0.01). (I) Venn diagram showing the overlap among heart failure DEGs, trained-immunity DEGs, and WGCNA module genes.

Journal: Frontiers in Immunology

Article Title: Identification of MTURN as a trained immunity-related biomarker for heart failure via integrative transcriptomic machine learning analysis and experimental validation

doi: 10.3389/fimmu.2026.1739660

Figure Lengend Snippet: Identification of core genes associated with macrophage immune training and heart failure. (A) Schematic overview of human-derived macrophage trained immunity model and transcriptomic profiling workflow ( GSE235897 ). (B) The volcano plot and (C) DEGs heatmap of hMDMs from trained (n=3) and untrained (n=3) samples in the macrophage-trained immunity dataset GSE235897 (|log2FC| ≥ 0.585, p < 0.05). (D) Sample clustering dendrogram of GSE135055 dataset based on gene expression profiles. (E) Scale-free topology fit index and (F) mean connectivity analysis across a range of soft-thresholding powers. (G) Cluster dendrogram of genes showing co-expression modules identified by WGCNA in database GSE135055 . (H) Module-trait heatmap values represent correlation coefficients between healthy controls and HF samples (* p < 0.05, ** p < 0.01). (I) Venn diagram showing the overlap among heart failure DEGs, trained-immunity DEGs, and WGCNA module genes.

Article Snippet: For single-cell transcriptomic data, we accessed the SCP1303 project from the Broad Institute ( https://singlecell.broadinstitute.org/single_cell ), which includes raw scRNA-seq data from failing human hearts with dilated and hypertrophic cardiomyopathy.

Techniques: Derivative Assay, Gene Expression, Expressing

Five heart failure transcriptomic datasets were integrated with a macrophage-trained immunity model to identify immune-related biomarkers. Through DEGs analysis, WGCNA, CIBERSORT, and six machine learning algorithms, hub genes were prioritized with MTURN emerging as the top candidate. Its potential was further validated by scRNA-seq analysis, which confirmed MTURN enrichment in cardiac macrophages. Finally, MTURN expression was validated using previously published heart failure transcriptomic data and in vitro experiments.

Journal: Frontiers in Immunology

Article Title: Identification of MTURN as a trained immunity-related biomarker for heart failure via integrative transcriptomic machine learning analysis and experimental validation

doi: 10.3389/fimmu.2026.1739660

Figure Lengend Snippet: Five heart failure transcriptomic datasets were integrated with a macrophage-trained immunity model to identify immune-related biomarkers. Through DEGs analysis, WGCNA, CIBERSORT, and six machine learning algorithms, hub genes were prioritized with MTURN emerging as the top candidate. Its potential was further validated by scRNA-seq analysis, which confirmed MTURN enrichment in cardiac macrophages. Finally, MTURN expression was validated using previously published heart failure transcriptomic data and in vitro experiments.

Article Snippet: For single-cell transcriptomic data, we accessed the SCP1303 project from the Broad Institute ( https://singlecell.broadinstitute.org/single_cell ), which includes raw scRNA-seq data from failing human hearts with dilated and hypertrophic cardiomyopathy.

Techniques: Expressing, In Vitro