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GenomicsTargeted RNA sequencing enhances gene expression profiling of ultra-low input samples
Targeted RNA sequencing enhances gene expression profiling of ultra-low input samples
PRJNA589751 | ENA
ProteomicsComparative proteome signatures of trace samples by multiplexed Data-Independent Acquisition
Single cell transcriptomics have revolutionized fundamental understanding of basic biology and disease. Since transcripts often do not correlate with protein expression, it is paramount to complement transcriptomics approaches with proteome analysis at single cell resolution. Despite continuous tech...
ORGANISM(S): Homo sapiens (Human) Saccharomyces cerevisiae (Baker's yeast) 
2021-05-17 | PXD023574 | Pride
Dia-tmt Identification-independent Ultra-low input samples 
GenomicsHydrogel Microencapsulation Enables High-Sensitivity Mitochondrial RNA Profiling from Ultra-Low Input Samples
Hydrogel Microencapsulation Enables High-Sensitivity Mitochondrial RNA Profiling from Ultra-Low Input Samples
PRJNA1275678 | ENA
TranscriptomicsTargeted RNA sequencing enhances gene expression profiling of ultra-low input samples
RNA-seq is the standard method for profiling gene expression in many biological systems. Due to the wide dynamic range and complex nature of the transcriptome, RNA-seq provides an incomplete characterisation, especially of lowly expressed genes and transcripts. Targeted RNA sequencing (RNA CaptureSe...
ORGANISM(S): Homo sapiens 
2019-11-16 | GSE140442 | GEO
GenomicsComprehensive analysis of RNA-seq kits for standard, low and ultra-low quantity samples
Comprehensive analysis of RNA-seq kits for standard, low and ultra-low quantity samples
PRJNA510978 | ENA
TranscriptomicsHydrogel Microencapsulation Enables High-Sensitivity Mitochondrial RNA Profiling from Ultra-Low Input Samples
The 13 protein-coding genes encoded by the mitochondrial genome are essential markers for cellular energy metabolism and diverse physiological and pathological processes. However, conventional RNA-seq methods often suffer from poor sensitivity in detecting mitochondrial transcripts due to their low ...
ORGANISM(S): Homo sapiens 
2026-09-01 | GSE299609 | GEO
TranscriptomicsCombined ultra-low input mRNA and whole-genome sequencing from human embryonic stem cells
Next Generation Sequencing has proven to be an exceptionally powerful tool in the field of genomics and transcriptomics. With recent development it is nowadays possible to analyze ultra-low input sample material down to single cells. Nevertheless investigating such sample material still limits the a...
ORGANISM(S): Homo sapiens 
2015-11-17 | GSE69471 | GEO
TranscriptomicsComprehensive analysis of RNA-seq kits for standard, low and ultra-low quantity samples
High-throughput RNA-sequencing has now become the gold standard method for whole-transcriptome gene expression analysis. It is widely used in a number of applications studying various transcriptomes of cells and tissues. It is also being increasingly considered for a number of clinical applications,...
ORGANISM(S): Homo sapiens 
2019-05-10 | GSE124198 | GEO
ProteomicsThe $10 proteome: low-cost, deep and quantitative proteome profiling of limited sample amounts using the Orbitrap Astral and timsTOF Ultra 2 mass spectrometers
Mass spectrometry (MS)-based proteomics remains technically demanding and prohibitively expensive for many large-scale or routine applications, with per-sample costs of hundreds of dollars or more. To democratize access to proteomics and facilitate its integration into more high-throughput multiomic...
ORGANISM(S): Homo sapiens (Human) 
2026-02-04 | PXD066701 | Pride
Limited sample input $10 proteome 
UnknownWhole-genome variant detection in long-read sequencing data from ultra-low input patient samples.
Not available
S-EPMC12330473 | biostudies-literature
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