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Links from GEO DataSets

Items: 20

1.

SC3-seq: a method for highly parallel and quantitative measurement of single-cell gene expression.

(Submitter supplied) Single-cell mRNA sequencing (RNA-seq) methods have undergone rapid development in recent years, and transcriptome analysis of relevant cell populations at single-cell resolution has become a key research area of biomedical sciences. We here present single-cell mRNA 3-prime end sequencing (SC3-seq), a practical methodology based on PCR amplification followed by 3-prime-end enrichment for highly quantitative, parallel and cost-effective measurement of gene expression in single cells. more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL15907 GPL16288
98 Samples
Download data: TXT
Series
Accession:
GSE63266
ID:
200063266
2.

SC3-consensus clustering of single cell RNA-Seq data

(Submitter supplied) We report a new unsupervised clustering tool for single cell RNA-seq data called SC3. We show that biologically relevant information can be obtained from preneoplastic cells of patients with myeloprolifertive disease.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
192 Samples
Download data: TXT
Series
Accession:
GSE79102
ID:
200079102
3.

Effective Detection of Variation in Single Cell Transcriptome using MATQ-seq

(Submitter supplied) We report here a new single-cell RNA-seq assay, Multiple Annealing and dC-Tailing based Quantitative single-cell RNA-seq (MATQ-seq), which provides the accuracy and sensitivity that enable the detection of transcriptional variations existing in single cells of the same type. We performed a systematic characterization of the technical noise using pool-and-split averaged single-cell samples and showed that the biological variations in single cells were observed with statistical significance.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
91 Samples
Download data: DAT, TXT
Series
Accession:
GSE78968
ID:
200078968
4.

The comparison of high-throughput single-cell RNA-seq methods

(Submitter supplied) Here we compare the performance of these three approaches (inDrop, Drop-seq and 10x) using the same kind of sample with a unified data processing pipeline. We generated 2-3 replicates for each method using lymphoblastoid cell line GM12891. The average sequencing depth was around 50-60k reads per cell barcode. We also developed a versatile and rapid data processing workflow and applied it for all datasets. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
7 Samples
Download data: TXT
Series
Accession:
GSE111912
ID:
200111912
5.

Transcriptomic response to benzo[a]pyrene treatment in HepG2 cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Expression profiling by high throughput sequencing
Platforms:
GPL9052 GPL13695
16 Samples
Download data: CEL, TXT
Series
Accession:
GSE36244
ID:
200036244
6.

Transcriptomic response to benzo[a]pyrene treatment in HepG2 cells (Affymetrix)

(Submitter supplied) Whole-genome transcriptome measurements are pivotal for characterizing carcinogenic mechanisms of chemicals and predicting toxic classes, such as genotoxicity, from in vitro and in vivo assays. DNA microarrays have evolved as the gold standard for this purpose. In recent years deep sequencing technologies have been developed that hold the promise of measuring the transcriptome with RNA-seq in a more accurate and unbiased manner than microarrays. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL13695
8 Samples
Download data: CEL, TXT
Series
Accession:
GSE36243
ID:
200036243
7.

Transcriptomic response to benzo[a]pyrene treatment in HepG2 cells (RNA-Seq)

(Submitter supplied) Whole-genome transcriptome measurements are pivotal for characterizing carcinogenic mechanisms of chemicals and predicting toxic classes, such as genotoxicity, from in vitro and in vivo assays. DNA microarrays have evolved as the gold standard for this purpose. In recent years deep sequencing technologies have been developed that hold the promise of measuring the transcriptome with RNA-seq in a more accurate and unbiased manner than microarrays. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL9052
8 Samples
Download data: TXT
Series
Accession:
GSE36242
ID:
200036242
8.

Comparative analysis of single-cell RNA sequencing methods

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and medical questions. However, systematic comparisons of the performance of diverse scRNA-seq protocols are lacking. We generated data from 583 mouse embryonic stem cells to evaluate six prominent scRNA-seq methods: CEL-seq2, Drop-seq, MARS-seq, SCRB-seq, Smart-seq and Smart-seq2. While Smart-seq2 detected the most genes per cell and across cells, CEL-seq2, Drop-seq, MARS-seq and SCRB-seq quantified mRNA levels with less amplification noise due to the use of unique molecular identifiers (UMIs). more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Third-party reanalysis
Platforms:
GPL17021 GPL13112 GPL18480
583 Samples
Download data: TXT
Series
Accession:
GSE75790
ID:
200075790
9.

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Pluripotency]

(Submitter supplied) We describe a novel workflow named Barcode Assembly foR Targeted Sequencing, which is a highly sensitive, quantitative, and inexpensive technique for targeted sequencing of transcript cohorts (rBART-Seq) or genomic regions (gBART-Seq) from thousands of bulk samples or single cells in parallel. Multiplexing is based on a simple method that produces extensive matrices of diverse DNA barcodes attached to invariant primer sets, for generating amplicons with dual indices. more...
Organism:
Homo sapiens
Type:
Other; Expression profiling by high throughput sequencing
Platforms:
GPL18573 GPL15520
4 Samples
Download data: CSV, FA
Series
Accession:
GSE130422
ID:
200130422
10.

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Genotyping]

(Submitter supplied) We describe a novel workflow named Barcode Assembly foR Targeted Sequencing, which is a highly sensitive, quantitative, and inexpensive technique for targeted sequencing of transcript cohorts (rBART-Seq) or genomic regions (gBART-Seq) from thousands of bulk samples or single cells in parallel. Multiplexing is based on a simple method that produces extensive matrices of diverse DNA barcodes attached to invariant primer sets, for generating amplicons with dual indices. more...
Organism:
Homo sapiens
Type:
Other
Platform:
GPL15520
3 Samples
Download data: CSV, FA
Series
Accession:
GSE130421
ID:
200130421
11.

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Differentiation]

(Submitter supplied) We describe a novel workflow named Barcode Assembly foR Targeted Sequencing, which is a highly sensitive, quantitative, and inexpensive technique for targeted sequencing of transcript cohorts (rBART-Seq) or genomic regions (gBART-Seq) from thousands of bulk samples or single cells in parallel. Multiplexing is based on a simple method that produces extensive matrices of diverse DNA barcodes attached to invariant primer sets, for generating amplicons with dual indices. more...
Organism:
Homo sapiens
Type:
Other; Expression profiling by high throughput sequencing
Platform:
GPL18573
3 Samples
Download data: CSV, FA
Series
Accession:
GSE130420
ID:
200130420
12.

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Other
Platforms:
GPL15520 GPL18573
10 Samples
Download data: CSV, FA
Series
Accession:
GSE107723
ID:
200107723
13.

Seq-Well: A portable, low-cost platform for single-cell RNA-seq of low-input samples

(Submitter supplied) Single-cell RNA -seq can precisely resolve cellular states, but applying this method to low-input samples is challenging. Here, we present Seq-Well, a portable, low-cost platform for massively parallel single-cell RNA -seq. Barcoded mRNA capture beads and single cells are sealed in an array of subnanoliter wells using a semipermeable membrane, enabling efficient cell lysis and transcript capture. We characterize Seq-Well extensively and use it to profile thousands of primary human macrophages exposed to tuberculosis.
Organism:
Mus musculus; Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL18573 GPL19415
7 Samples
Download data: TXT
Series
Accession:
GSE92495
ID:
200092495
14.

scFTD-seq: freeze-thaw lysis based, portable approach toward highly distributed single-cell 3’ mRNA profiling

(Submitter supplied) We present sc-FTDseq, a microchip platform for single-cell freeze-thaw lysis directly toward 3’ mRNA sequencing. It offers format flexibility with a much simplified, widely adoptable workflow that reduces the number of preparation steps and hands-on time, with the quality of data and the cost per sample matching that of the state-of-the-art scRNA-seq platforms. Freeze-thaw, known as an unfavorable lysis method resulting in RNA fragmentation, turns out to be fully compatible with single-cell 3’ mRNA sequencing, which detects only ~50 bases at the 3’ end. more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL16791 GPL22245 GPL17021
9 Samples
Download data: TXT, XLSX
Series
Accession:
GSE109535
ID:
200109535
15.

Quantifying continuous cell-cycle phase using single-cell gene expression data

(Submitter supplied) The cell cycle is known to regulate cell proliferation and cell fate decisions, the underlying mechanism of which is well-studied and conserved across species and cell types. To date, the cell cycle is receiving a renewed importance due to the rapid advancement of single-cell genomics technology. Especially in the analysis of single-cell gene expression, the cell cycle plays a key role in understanding the expression variation across cell states and cell types. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
1536 Samples
Download data: RDS, TXT
Series
Accession:
GSE121265
ID:
200121265
16.

Scalable Microfluidics for Single Cell RNA Printing and Sequencing

(Submitter supplied) Single cell transcriptomics has emerged as a powerful approach to dissecting phenotypic heterogeneity in complex, unsynchronized cellular populations. However, many important biological questions demand quantitative analysis of large numbers of individual cells. Hence, new tools are urgently needed for efficient, inexpensive, and parallel manipulation of RNA from individual cells. We report a simple microfluidic platform for trapping single cell lysates in sealed, picoliter microwells capable of “printing” RNA on glass or capturing RNA on polymer beads. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
643 Samples
Download data: TXT
Series
Accession:
GSE66357
ID:
200066357
17.

High-throughput error corrected Nanopore single cell transcriptome sequencing

(Submitter supplied) E18 mouse brain single cell profiling using the 10x Genomics Chromium instrument workflow with either Illumina short read sequencing for the standard gene profiling and Nanopore PromethION long read sequencing for isoform profiling.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL26624 GPL19057
4 Samples
Download data: MTX, TSV, TXT
Series
Accession:
GSE130708
ID:
200130708
18.

Single-cell RNA-Seq transcriptome analysis of circular RNAs in mouse embryos

(Submitter supplied) We reported a new method of single-cell universal poly(A)-independent RNA sequencing (SUPeR-seq) to obtain single cell whole transcriptome analysis that covers both poly(A) plus and poly(A) minus RNA species. We built libraries of single mouse ESC , 10pg, 100pg and 1ng diluted mouse ES total RNA, single HEK293T cell and mouse early embryos before 4-cell stage. We analyzed these data using bioinformatics and find a good coverage of non-polyadenylated RNAs, circular RNA for example. more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing
4 related Platforms
118 Samples
Download data: TXT
Series
Accession:
GSE53386
ID:
200053386
19.

TEQUILA-seq: a versatile and low-cost method for targeted long-read RNA sequencing

(Submitter supplied) Long-read RNA sequencing (RNA-seq) is a powerful technology for transcriptome analysis, but the relatively low throughput of current long-read sequencing platforms limits transcript coverage. We present TEQUILA-seq, a versatile, easy-to-implement, and low-cost method for targeted long-read RNA-seq. TEQUILA-seq can be broadly used for targeted sequencing of full-length transcripts in diverse biomedical research settings.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Other
Platforms:
GPL24676 GPL24106
123 Samples
Download data: GTF, TXT
Series
Accession:
GSE213984
ID:
200213984
20.

Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads

(Submitter supplied) High-throughput single-cell RNA-seq methods assign limited unique molecular identifier (UMI) counts as gene expression values to single cells from shallow sequence reads and detect limited gene counts. We thus developed a high-throughput single-cell RNA-seq method, Quartz-Seq2, to overcome these issues. Our improvements in several of the reaction steps of Quartz-Seq2 allow us to effectively convert initial reads to UMI counts (at a rate of 30%–50%). more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL19057 GPL17021
74 Samples
Download data: TXT
Series
Accession:
GSE99866
ID:
200099866
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db=gds|term=|query=1|qty=3|blobid=MCID_675bfa599a32d1611625be02|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
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