Spatiotemporal transcriptomics and metabolic profiling provide ...

In this study, we generated high-resolution spatiotemporal gene expression profiles in lentil embryo, seed coat and whole seeds from fertilization through ...

The transcriptome data provide a rich resource for functional studies on lentil seed development and for the identification of new ...

Spatiotemporal Transcriptomics and Metabolic Profiling Provide ...

Request PDF | Spatiotemporal Transcriptomics and Metabolic Profiling Provide Insights into Gene Regulatory Networks during Lentil Seed Development | Lentil ...

Spatiotemporal transcriptomics and metabolic profiling provide ...

Resource. Spatiotemporal transcriptomics and metabolic profiling provide insights into gene regulatory networks during lentil seed development · Source · Abstract.

Spatial and single-cell profiling of the metabolome, transcriptome ...

Integration of the datasets revealed zonation-specific and age-related changes in metabolic states, the epigenome and transcriptome. The ...

Spatiotemporal omics for biology and medicine

In addi- tion, spatial transcriptomics also provides new ... High-definition spatial transcriptomics for in situ tissue profiling.

Spatiotemporal multi-omics: exploring molecular landscapes in ...

STT aims to provide gene expression profiles while preserving spatial context and concurrently offering data on the temporal dimension, enabling a more ...

Spatial transcriptomics reveals that metabolic characteristics define ...

The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data. The metabolic activity of each ...

Single-cell and spatiotemporal transcriptomic analyses reveal the ...

In conclusion, the combination of sc/snRNA-seq, Stereo-seq, and untargeted metabolomics revealed immune system defects as well as altered bile acid and lipid ...

Transcriptome and metabolome profiling provide insights into ...

In addition to individual analyses for transcriptome sequencing and metabolome profiling, we performed co-joint analyses on DEGs and DAMs to ...

Spatiotemporally resolved transcriptomics reveals subcellular RNA ...

The ability to systematically profile transcriptomes across time and space at a single-cell level from intact cellular networks is critical to ...

Spatial Transcriptomics: Emerging Technologies in Tissue Gene ...

By providing curated data, the field of spatial transcriptomics will quickly benefit from artificial-intelligence-based large language models.

High-resolution 3D spatiotemporal transcriptomic maps of ...

The transcriptomic profiles of cells and tissues largely determine their functions. In multicellular organisms, various types of cells with diverse ...

Transcriptomic, epigenomic, and spatial metabolomic cell profiling ...

Surveying metabolism-associated gene profiles revealed non-overlapping metabolic signatures between nephron segments and dysregulated lipid ...

Transcriptome profiling reveals the spatial-temporal dynamics of ...

2A, B), indicating gene expression specificity to the time points. For the transcript abundance, approximately 61.07% of expressed genes were in ...

Spatially resolved single-cell metabolic profiling by multimodal MSI

Moreover, using spatial transcriptomics we can analyse over thousand different RNA transcripts and with mass spectrometry imaging, the full ...

Single-Cell & Spatial Transcriptomics Illuminate Disease Dynamics

The integration of single-cell and spatial transcriptomics with advanced metabolic profiling tools has provided unprecedented insights into the cellular ...

Metabolic profiling and gene expression analyses provide insights ...

In addition, the quantitative transcriptome sequencing was conducted to uncover the global transcriptional profiles of P. nutans under cold ...

Transcriptomic and metabolomic data integration - Oxford Academic

Despite all this, transcriptomic–metabolomic integration is clearly a powerful combination, the metabolome providing phenotypic measurements to ...

Transcriptomic and Metabolic Profiling Reveal the Mechanism of ...

DESeq2 provides statistical procedures based on a negative binomial distribution model to identify differential expression in digital gene expression data.