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Omics · study · 2026

Single-cell transcriptome profiling of Oryza sativa node I at booting, flowering, and grain filling stages

Listed in NCBI GEO

Description

This dataset provides processed snRNA-seq gene expression data in the standard 10x Genomics CellRanger output format, including three core files: barcodes.tsv.gz (with quality-controlled nucleus-specific barcodes, matching expression matrix column order), features.tsv.gz (gene annotations: Ensembl ID, gene symbol, "Gene Expression" type, matching matrix row order), and matrix.mtx.gz (sparse MTX-format raw UMI count matrix, m×n dimensions where m=gene number, n=nucleus number, storing non-zero values as [gene_index][barcode_index][count]).

These files together form a complete expression matrix and serve as fundamental input for downstream analysis via tools like Seurat and Scanpy.

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From keywords
Life Sciences
Inferred from text
Single-cell RNA sequencing 65%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE30875712 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title