Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Droplet barcodes sequencing method for generating linked reads

PROVIDER: PRJNA898124 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22188308_1.fastq.gz	Fastqsanger.gz
	SRR22188308_2.fastq.gz	Fastqsanger.gz
	SRR22188309_1.fastq.gz	Fastqsanger.gz
	SRR22188309_2.fastq.gz	Fastqsanger.gz
	SRR22188310_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 10

Similar Datasets

Sequencing data for single cells and DNA-functionalized microbeads encapsulated in hydrogel droplets.

Project description:DNA barcodes can be used to identify single cells in a sequencing data space while optical codes can be used to track single live cells in an image data space. We have developed dual image and DNA (ID)-coding, which identifies individual single cells in both live image and sequencing data spaces. Samples provided here are relevant to proof-of-concept studies of ID-coding presented in the associated publication. DNA barcoded micro-particles were encapsulated in hydrogel droplets with or without single cells. The hydrogel droplets were then subjected to “single-droplet sequencing” where whole polyA-bearing nucleic acid components within a hydrogel droplet (i.e. mRNA from cells and synthetic DNA on beads) were concatenated by the same cell barcodes.

2023-12-11 | E-MTAB-12988 | biostudies-arrayexpress

Single-cell RNA sequencing data for a mixed population of K562 cells and THP-1 cells, encoded with combinatorial DNA barcodes.

Project description:Microdroplet-based co-culturing assays dissect a complex multi-cellular interactions into individual cell-cell interaction events in a highly parallelized manner. To integrate single-cell sequencing approaches into such in-droplet multicellular co-culturing assays, we demonstrate a chemistry approach for encoding the identity of droplets to their belonging cells. K562 cells and THP-1 cells were encapsulated in water-in-oil droplets, where they were labeled with DNA barcodes encoding the identity of individual droplets. Then cells were released from droplets for pooled single-cell RNA sequencing. cDNA and DNA barcodes were sequenced in separate sequencing libraries. Experiments were carried out in duplicate.

2023-06-27 | E-MTAB-12819 | biostudies-arrayexpress

Project description:Generating COI barcodes for Asiloid flies

| PRJNA396933 | ENA

High-Throughput Single-Cell Labeling (Hi-SCL) for RNA-Seq using drop-based microfluidics

Project description:The importance of single-cell level data is increasingly appreciated, and significant advances in this direction have been made in recent years. Common to these technologies is the need to physically segregate individual cells into containers, such as wells or chambers of a micro-fluidics chip. High-throughput Single-Cell Labeling (Hi-SCL) in drops is a novel method that uses drop-based libraries of oligonucleotide barcodes to index individual cells in a population. The use of drops as containers, and a microfluidics platform to manipulate them en-masse, yields a highly scalable methodological framework. Once tagged, labeled molecules from different cells may be mixed without losing the cell-of-origin information. Here we demonstrate an application of the method for generating RNA-sequencing data for multiple individual cells within a population. Barcoded oligonucleotides are used to prime cDNA synthesis within drops. Barcoded cDNAs are then combined and subjected to second generation sequencing. The data are deconvoluted based on the barcodes, yielding single-cell mRNA expression data. In a proof-of-concept set of experiments we show that this method yields data comparable to other existing methods, but with unique potential for assaying very large numbers of cells. In this experiment we mixed 2 cell types (mES mEF) and then using single cell novel approach we could be able to find each cell (using its barcode) and assign it to mES of mEF and to produce mES and mEF aggregate bam files (converted to bed for GEO submission). 1152_RNA_RTprimers_Barcodes.txt: A list of all 1152 barcodes sequenced for Read2 fastq files.

2015-06-05 | E-GEOD-62050 | biostudies-arrayexpress

Scalable co-sequencing of RNA and DNA from individual nuclei

Project description:We present DEFND-seq (DNA and Expression From Nucleosome Depletion), a scalable method for co-sequencing RNA and DNA from single nuclei. In DEFND-seq we treat nuclei with lithium diiodosalicylate to disrupt chromatin and expose genoimc DNA. The nuclei are then tagmented with Tn5 transposase, which fragments and tags gDNA. Tagmented nuclei are loaded into a microfluidic droplet generator which combines nuclei, beads containing transcriptomic and genomic barcodes, and reverse transcription reagents into single droplets. Ultimately two libraries are created, one for nuclear mRNA and one for genomic DNA, with each library containing barcodes linking it to its nuclei of origin, thus allowing simultaneous analysis of single nuclei transcriptomes and genomes. Once nuclei have been depleted of nucleosomes, all steps can be performed using a 10x Chromium Controller and 10x Multiome Kit without further experimental modification.

2023-02-09 | GSE224149 | GEO

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

Project description: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. Here, we used the gBART-Seq for genetic screening of breast cancer patients and identified BRCA mutations with very high precision.

2019-07-07 | GSE130421 | GEO

High-Throughput Single-Cell Labeling (Hi-SCL) for RNA-Seq using drop-based microfluidics

2015-06-05 | GSE62050 | GEO

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

Project description: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. Here, we used the rBART-Seq for RNA quantification, and for the analysis of developmental states of thousands of single human pluripotent stem cells maintained in different media (mTeSR™1, KSR-bFGF, and E8).

2019-07-07 | GSE130422 | GEO

Homo sapiens

Project description:Multiplexing droplet-based single cell RNA-sequencing using genetic barcodes

| PRJNA381100 | ENA

High-throughput single-molecule long-read RNA sequencing analysis of tissue-specific genes and isoforms in lettuce (Lactuca sativa L.)

Project description:This study utilized the HIT-ISOseq method for high-throughput sequencing of RNA isoforms across multiple lettuce samples, generating millions of long reads per PacBio Sequel II SMRT Cell. Analysis of six tissue types revealed tissue-specific gene expression and RNA isoforms, facilitating updates to the lettuce reference genome annotation with expanded functional annotations.

2024-05-23 | GSE264560 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data