GEO DataSets

(Submitter supplied) Yeasts are naturally diverse, genetically tractable, and easy to grow such that researchers can investigate any number of genotypes, environments, or interactions thereof. However, studies of yeast transcriptomes have been limited by the processing capabilities of traditional RNA sequencing techniques. Here we optimize a powerful, high-throughput single-cell RNA sequencing (scRNAseq) platform, SPLiT-seq (Split Pool Ligation-based Transcriptome sequencing), for yeasts and apply it to 43,388 cells of multiple species and ploidies. more...

Organism:

Candida albicans; Saccharomyces cerevisiae

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL26171 GPL34036

7 Samples

Download data: MTX, TSV

(Submitter supplied) We introduce microSPLiT, a low cost and high-throughput single-cell RNA-sequencing method for gram-negative and gram-positive bacteria. We applied microSPLiT to >25,000 Bacillus subtilis cells sampled at different growth stages, creating a detailed atlas of changes in metabolism and lifestyle. We not only retrieve detailed gene expression profiles associated with known, but rare, states such as competence and PBSX prophage induction, but also identify novel and unexpected gene expression states including a heterogeneous activation of a niche metabolic pathway (myo-inositol catabolism) in a subpopulation of cells.

Organism:

Bacillus subtilis; Escherichia coli

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL28092 GPL28643

3 Samples

Download data: CSV

(Submitter supplied) Cell atlas projects and high-throughput perturbation screens require single-cell sequencing at a scale that is challenging with current technology. To enable cost-effective single-cell sequencing for millions of individual cells, we developed “single-cell combinatorial fluidic indexing” (scifi). The scifi-RNA-seq assay combines one-step combinatorial pre-indexing of entire transcriptomes inside permeabilized cells with subsequent single-cell RNA-seq using microfluidics. more...

Organism:

Mus musculus; Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL24676 GPL25526

14 Samples

Download data: CSV, H5AD

(Submitter supplied) We developed HyDrop, a new droplet microfluidic single-cell sequencing protocol for single-cell ATAC-seq and single-cell RNA-seq. We applied HyDrop-ATAC to flash-frozen mouse cortex and generated 7996 single-cell chromatin accessibility profiles. We applied HyDrop-RNA to flash-frozen mouse cortex and generated 9508 single-cell transcriptomes. We also applied HyDrop-RNA to a small population of FAC-sorted neurons from the Drosophila brain to demonstrate the protocol's applicability to low-input samples. more...

Organism:

Homo sapiens; Mus musculus; Drosophila melanogaster

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing

4 related Platforms

20 Samples

Download data: BW, TAR, TSV

(Submitter supplied) Understanding how gene expression programs are controlled requires identifying regulatory relationships between transcription factors and target genes. Gene regulatory networks are typically constructed from gene expression data acquired following genetic perturbation or environmental stimulus. Single-cell RNA sequencing (scRNAseq) captures the gene expression state of thousands of individual cells in a single experiment, offering advantages in combinatorial experimental design, large numbers of independent measurements, and accessing the interaction between the cell cycle and environmental responses that is hidden by population-level analysis of gene expression. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by high throughput sequencing

Platform:

GPL19756

12 Samples

Download data: MTX, TSV

(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

(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

(Submitter supplied) Single-cell RNA-seq (scRNA-seq) has revealed extensive cellular heterogeneity within many organisms but few methods have been developed for microbial clonal populations. The yeast genome displays an unusually dense transcript spacing with interleaved and overlapping transcription from both strands, resulting in a minuscule but complex pool of RNA protected by a resilient cell wall. Here, we developed a sensitive, scalable and inexpensive yeast single-cell RNA-seq (yscRNA-seq) method that digitally counts transcript start sites (TSS) in a strand- and isoform-specific manner with unique molecular identifiers (UMI). more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17342

175 Samples

Download data: TAB

(Submitter supplied) We report the development and application of isogenic colony sequencing to profile heterogeneity among yeast colonies. We profiled transcriptomes of the opaque-white switching in C. albicans colonies and an ARO4 mutagenesis library in S. cerevisiae colonies.

Organism:

Saccharomyces cerevisiae; Candida albicans

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL17143 GPL23041

2 Samples

Download data: TXT

(Submitter supplied) We present microbial Drop-seq or mDrop-seq, a high-throughput scRNA-seq technique that is used on two yeast species, Saccharomyces cerevisiae, a popular model organism and Candida albicans, a common opportunistic pathogen. We benchmarked mDrop-seq for sensitivity and specificity and used it to profile 35,109 S. cerevisiae cells to detect variation in mRNA levels between them. As a proof of concept, we quantified expression differences in heat-shocked S. more...

Organism:

Saccharomyces cerevisiae; Candida albicans

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL22403 GPL19756 GPL28878

23 Samples

Download data: TAR, TXT

(Submitter supplied) Background: Rare cell subtypes can profoundly impact the course of human health and disease, yet their presence within a sample is often missed with bulk molecular analysis. Single-cell analysis tools such as FACS, FISH-FC and single-cell barcode-based sequencing can investigate cellular heterogeneity; however, they have significant limitations that impede their ability to identify and transcriptionally characterize many rare cell subpopulations. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

8 Samples

Download data: TXT

(Submitter supplied) RNA-Seq is a powerful tool for transcriptome profiling, but is hampered by sequence-dependent bias and inaccuracy at low copy numbers intrinsic to exponential PCR amplification. We developed a simple strategy for mitigating these complications, allowing truly digital RNA-Seq. Following reverse transcription, a large set of barcode sequences is added in excess, and nearly every cDNA molecule is uniquely labeled by random attachment of barcode sequences to both ends. more...

Organism:

Escherichia coli str. K-12 substr. MG1655

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15010

2 Samples

Download data: CSV, SAI, SAM

(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

(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

(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

(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

(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

(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

(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

(Submitter supplied) In wine fermentation, the blending of non-Saccharomyces yeast with Saccharomyces cerevisiae to improve the complexity of wine has become common practice, but data regarding the impact on yeast physiology and on genetic and metabolic regulation remain limited. Here we describe a transcriptomic analysis of single species and mixed species fermentations.

Organism:

Saccharomyces cerevisiae; Lachancea thermotolerans

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL24800 GPL19756 GPL24799

10 Samples

Download data: TXT