U.S. flag

An official website of the United States government

Format
Items per page
Sort by

Send to:

Choose Destination

Links from GEO DataSets

Items: 17

1.

Cancer phylogenetics using single-cell RNA-seq data

(Submitter supplied) To test if scRNA-seq contains sufficient phylogenetic information to reconstruct a population history of cancer, immunosuppressed NU/J mice were injected with human cancer cells (MDA-MB-231-LM2). The tumors that develop are derived from the same population and thus share a common ancestor, but evolved independently in each mouse and should form separate clades on reconstructed phylogenetic trees when analysed together. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
5 Samples
Download data: H5
Series
Accession:
GSE163210
ID:
200163210
2.

Improved bacterial single-cell RNA-seq through automated MATQ-seq

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Salmonella enterica subsp. enterica serovar Typhimurium
Type:
Expression profiling by high throughput sequencing
Platform:
GPL30637
396 Samples
Download data
Series
Accession:
GSE218633
ID:
200218633
3.

Improved bacterial single-cell RNA-seq through automated MATQ-seq [scRNA-seq]

(Submitter supplied) In this work, we have improved our previously published bacterial single-cell RNA-sequencing protocol (MATQ-seq), providing enhancements that achieve a higher cell throughput while also including integration of automation. We selected a more efficient reverse transcriptase which led to a lower drop-out rate and higher workflow robustness, and we also successfully implemented a Cas9-based ribosomal RNA depletion protocol into the MATQ-seq workflow. more...
Organism:
Salmonella enterica subsp. enterica serovar Typhimurium
Type:
Expression profiling by high throughput sequencing
Platform:
GPL30637
384 Samples
Download data: TSV
Series
Accession:
GSE218632
ID:
200218632
4.

Improved bacterial single-cell RNA-seq through automated MATQ-seq [bulk RNA-seq]

(Submitter supplied) In this work, we have improved our previously published bacterial single-cell RNA-sequencing protocol (MATQ-seq), providing enhancements that achieve a higher cell throughput while also including integration of automation. We selected a more efficient reverse transcriptase which led to a lower drop-out rate and higher workflow robustness, and we also successfully implemented a Cas9-based ribosomal RNA depletion protocol into the MATQ-seq workflow. more...
Organism:
Salmonella enterica subsp. enterica serovar Typhimurium
Type:
Expression profiling by high throughput sequencing
Platform:
GPL30637
12 Samples
Download data: TSV
Series
Accession:
GSE218631
ID:
200218631
5.

Single cell RNA-seq by mostly-natural sequencing by synthesis

(Submitter supplied) Massively parallel single cell RNA-seq (scRNA-seq) for diverse applications, from cell atlases to functional screens, is increasingly limited by sequencing costs, and large-scale low-cost sequencing can open many additional applications, including patient diagnostics and drug screens. Here, we adapted and systematically benchmarked a newly developed, mostly-natural sequencing by synthesis method for scRNA-seq. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Other
4 related Platforms
16 Samples
Download data: CSV, H5, TXT
Series
Accession:
GSE197452
ID:
200197452
6.

scRNAseq of longitidunally acquired samples from a CLL patient

(Submitter supplied) We collected three timepoint blood samples from a CLL patient underwent BTK inhibitor treatment. We performed single cell RNA sequencing on these samples to track expression heterogeneity of malignant B-cell populations over time.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
3 Samples
Download data: TXT
Series
Accession:
GSE186150
ID:
200186150
7.

Robustness of Single-cell RNA-Seq for Identifying Differentially Expressed Genes

(Submitter supplied) We found that single-cell RNA-seq (scRNA-seq)dataneeded to have2,000or more cellsin a cluster to identify the majority of differentially expressed genes (DEGs) with modest differences, while as few as 50-100cells weresufficient for identifying the majority of DEGs withextremely small p values or high abundance.The findings provide a quantitativereference for designing and interpreting studies that usescRNA-seq datato identify DEGs.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
12 Samples
Download data: CSV, TXT
Series
Accession:
GSE226163
ID:
200226163
8.

UMI-count modeling and differential expression analysis for single-cell RNA sequencing

(Submitter supplied) Single cell RNA-seq of the human alveolar rhabdomyosarcoma cell line Rh41. We also inlcude a bulk RNA-seq study of unsorted and sorted cells using CD44 as a marker
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
10 Samples
Download data: MTX, TSV, TXT
Series
Accession:
GSE113660
ID:
200113660
9.

Single-cell RNA-seq of fibroblasts from recessive dystrophic epidermolysis bullosa patients and wild-type controls

(Submitter supplied) The goal of this study is to discover fibroblast subpopulations relevant to recessive dystrophic epidermolysis bullosa
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL15520
543 Samples
Download data: TXT
Series
Accession:
GSE108849
ID:
200108849
10.

Single-cell RNA sequencing analysis of adult murine lung, kidney and spleen by TAS-Seq

(Submitter supplied) Single-cell RNA-sequencing (scRNA-seq) is valuable for analyzing cellular heterogeneity. Cell composition accuracy is critical for analyzing cell-cell interaction networks from scRNA-seq data because cell abundancy might affect to the network. We developed terminator-assisted solid-phase cDNA amplification and sequencing (TAS-Seq), a scRNA-seq method that relied on terminator, terminal transferase, and nanowell/beads-based scRNA-seq platform, that could acquire scRNA-seq data with higher correlation with flow-cytometric data, gene-detection sensitivity, and robustness than widely-used methods.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24247
10 Samples
Download data: TXT
Series
Accession:
GSE200090
ID:
200200090
11.

single-cell RNA-seq by TAS-Seq

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus; Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL24247 GPL24676
5 Samples
Download data: TXT
Series
Accession:
GSE180149
ID:
200180149
12.

single-cell RNA-seq of murine spleen by TAS-Seq

(Submitter supplied) Single-cell RNA-sequencing (scRNA-seq) is valuable for analyzing cellular heterogeneity. Cell composition accuracy is critical for analyzing cell-cell interaction networks from scRNA-seq data because cell abundancy might affect to the network. We developed terminator-assisted solid-phase cDNA amplification and sequencing (TAS-Seq), a scRNA-seq method that relied on terminator, terminal transferase, and nanowell/beads-based scRNA-seq platform, that could acquire scRNA-seq data with higher correlation with flow-cytometric data, gene-detection sensitivity, and robustness than widely-used methods.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24247
2 Samples
Download data: TXT
Series
Accession:
GSE180140
ID:
200180140
13.

single-cell RNA-seq of murine and human lungs by TAS-Seq

(Submitter supplied) Single-cell RNA-sequencing (scRNA-seq) is valuable for analyzing cellular heterogeneity. Cell composition accuracy is critical for analyzing cell-cell interaction networks from scRNA-seq data because cell abundancy might affect to the network. We developed terminator-assisted solid-phase cDNA amplification and sequencing (TAS-Seq), a scRNA-seq method that relied on terminator, terminal transferase, and nanowell/beads-based scRNA-seq platform, that could acquire scRNA-seq data with higher correlation with flow-cytometric data, gene-detection sensitivity, and robustness than widely-used methods.
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL24247 GPL24676
3 Samples
Download data: TXT
Series
Accession:
GSE180139
ID:
200180139
14.

Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) methods generate sparse gene expression profiles for thousands of single cells in a single experiment. The information in these profiles is sufficient to classify cell types by distinct expression patterns but the high complexity of scRNA-seq libraries prevents full characterization of transcriptomes from individual cells. To generate more focused gene expression information from scRNA-seq libraries, we developed a strategy to physically recover the DNA molecules comprising transcriptome subsets, enabling deeper interrogation of the isolated molecules by another round of DNA sequencing. more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing
5 related Platforms
13 Samples
Download data: JSON, TSV, TXT
Series
Accession:
GSE119428
ID:
200119428
15.

DENDRO: genetic heterogeneity profiling and subclone detection by single-cell RNA sequencing

(Submitter supplied) We delineate subclonal expansion in a mouse melanoma models in response to immunotherapy, highlighting the role of neoantigens
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
6 Samples
Download data: CSV
Series
Accession:
GSE139248
ID:
200139248
16.

Pan-cancer single-nucleus total RNA sequencing using HH-seq

(Submitter supplied) Tumor heterogeneity and its drivers impair tumor progression and cancer therapy. Single-cell RNA sequencing has been used to investigate the heterogeneity of tumor ecosystems. However, most methods of scRNA-seq amplify the termini of polyadenylated transcripts, making it challenging to perform total RNA analysis and somatic mutation analysis during tumor processing. Additionally, frozen tumor samples constitute a vast and valuable material bank for cancer research. more...
Organism:
Mus musculus; Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL30440 GPL25526 GPL28330
12 Samples
Download data: H5AD, MTX, TSV
Series
Accession:
GSE237166
ID:
200237166
17.

Bacterial droplet-based single-cell RNA-seq reveals antibiotic-associated heterogeneous cellular states

(Submitter supplied) In this study, we introduce BacDrop, a bacterial droplet-based high throughput scRNA-seq technology that can be applied to large cell numbers. We applied BacDrop to study Klebsiella pneumoniae clinical isolates and elucidated their critical, genome-wide heterogeneity in the absence and presence of antibiotic perturbations.
Organism:
Escherichia coli; Enterococcus faecalis; Pseudomonas aeruginosa; Klebsiella pneumoniae
Type:
Expression profiling by high throughput sequencing
5 related Platforms
35 Samples
Download data: TSV, TXT
Series
Accession:
GSE180237
ID:
200180237
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

db=gds|term=|query=4|qty=8|blobid=MCID_672dd7599a2d0f71cf74238b|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center