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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Amplicon DNA-sequencing of time series of pooled-CRISPR knock-out screens of Osimertinib and DMSO-treated cell lines using a dual-guide CRISPR library

ABSTRACT: This project is a drug-gene interaction dual-guide CRISPR screen using a 3-guide pairs per gene library design.

INSTRUMENT(S): NA, Illumina NovaSeq 6000

ORGANISM(S): Homo sapiens

SUBMITTER:

PROVIDER: E-MTAB-13980 | biostudies-arrayexpress |

SECONDARY ACCESSION(S): ERP159137

REPOSITORIES: biostudies-arrayexpress

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Amplicon DNA-sequencing of time series of pooled-CRISPR knock-out screens of Osimertinib and DMSO-treated cell lines

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Amplicon Sequencing of gRNAs from Druggable Genome CRISPR mutagenized Huh7.5.1 cells after live/dead selection with DENV2

Project description:Huh7.5.1 cells were stably transduced with lentiCas9-Blast (Addgene, #52962) and subsequently selected using Blasticidin. Then, Huh7.5.1 cells that constitutively express Cas9 were transduced with lentiGuide-Puro from the druggable genome library at MOI 0.3. Cells were then selected with puromycin, expanded, and then pooled together and cryofrozen in aliquots. Cells were thawed constituting over 1000× genome coverage worth of mutagenized library. The cells were infecting with DENV2_429557 and DENV-2_16681_Hap1-adapted at MOI of 0.1. Virus-resistant colonies were harvested. The uninfected reference used was the unselected starting population. The unselected and selected cells were both processed with QIAamp DNA columns to purify the gDNA. A first round of PCR was used to amplify the guide RNA sequences encoded in the gDNA, followed by a second round of PCR to add the barcodes/adapters for amplicon sequencing. 2% agarose gels and a QIAquick gel extraction kit were used to purify the amplicons. The amplicons were then subjected to next-generation sequencing on a HiSeq instrument lane (Illumina) via Novogene.

2024-12-29 | E-MTAB-14693 | biostudies-arrayexpress

Amplicon Sequencing of gRNAs from Brunello CRISPR mutagenized HT29-DKO cells after live/dead selection with PeV-A1 and PeV-A2

Project description:HT29-DKO cells were stably transduced with lentiCas9-Blast (Addgene, #52962) and subsequently selected using Blasticidin. Then, 300 million HT29-DKO cells that constitutively express Cas9 were transduced with lentiGuide-Puro from the Brunello library at MOI 0.3. Cells were then selected with puromycin, expanded to 3 billion cells, and then pooled together and cryofrozen in aliquots. One hundred million cells were thawed constituting over 1000× genome coverage worth of mutagenized library. The cells were infecting with PeV-A1 or PeV-A2 at an MOI of 0.1. Virus-resistant colonies were harvested. The uninfected reference used was the unselected starting population. The unselected and selected cells were both processed with QIAamp DNA columns to purify the gDNA. A first round of PCR was used to amplify the guide RNA sequences encoded in the gDNA, followed by a second round of PCR to add the barcodes/adapters for amplicon sequencing. 2% agarose gels and a QIAquick gel extraction kit were used to purify the amplicons. The amplicons were then subjected to next-generation sequencing on a HiSeq instrument lane (Illumina) via Novogene.

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Amplicon Sequencing of gRNAs from Brunello CRISPR mutagenized A549 and U87-MG cells after live/dead selection with EV-D68 IL

Project description:With the near eradication of poliovirus due to global vaccination campaigns, attention has shifted to other enteroviruses that can cause polio-like paralysis syndrome (now termed acute flaccid myelitis (AFM)). In particular, enterovirus D68 (EV-D68) is believed to be the main driver of epidemic outbreaks of AFM in recent years, yet not much is known about EV-D68 host interactions. EV-D68 is a respiratory virus but, in rare cases, can spread to the central nervous system to cause severe neuropathogenesis. We use genome-scale CRISPR screens to identify genes important for EV-D68 infection. A549 and U87-MG cells were stably transduced with lentiCas9-Blast (Addgene, #52962) and subsequently selected using Blasticidin. Then, 300 million cells that constitutively express Cas9 were transduced with lentiGuide-Puro from the Brunello library (MOI 0.3). Cells were then selected with puromycin, expanded to 3 billion cells, and then pooled together and cryofrozen in aliquots. One hundred million cells were thawed constituting over 1000× genome coverage worth of mutagenized library,expanded, and seeded for the screens. Each screen had over 500x genome coverage. The cells were infected with EV-D68 IL (BEI USA/2014/18952) (MOI 0.1). Virus-resistant colonies were harvested. The uninfected reference used was the unselected starting population. The unselected and selected cells were both processed with QIAamp DNA columns to purify the gDNA. A first round of PCR was used to amplify the guide RNA sequences encoded in the gDNA, followed by a second round of PCR to add the barcodes/adapters for amplicon sequencing. 2% agarose gels and a QIAquick gel extraction kit were used to purify the amplicons. The amplicons were then subjected to next-generation sequencing on a HiSeq instrument lane (Illumina) via Novogene.

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Single-cell RNAseq of differentiating human iPSCs during endothelial-to-hematopoietic transition with targeted CRISPR activation

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High-throughput CRISPR screen to identify factors involved in DNA methylation maintenance

Project description:Mouse embryonic stem cells have been modified with a DNA methylation reporter based on the Sprn promoter system published in Stelzer et al. (Cell, 2015). This reporter allows selection by Hygromycin as well as mScarlet expression. The cells were infected with a Lentiviral genome-wide CRISPR/Cas library resulting in the upregulation of Hygromycin/mScarlet when cells lose global DNA methylation.

2022-01-01 | E-MTAB-9126 | biostudies-arrayexpress

Sequence database choice significantly affects taxonomic and functional metaproteomic results in gut microbiota studies

Project description:Elucidating the role of gut microbiota in physiological and pathological processes has recently emerged as a key research aim in life sciences. In this respect, metaproteomics (the study of the whole protein complement of a microbial community) can provide a unique contribution by revealing which functions are actually being expressed by specific microbial taxa. However, its wide application to gut microbiota research has been hindered by challenges in data analysis, especially related to the choice of the proper sequence databases for protein identification. Here we present a systematic investigation of variables concerning database construction and annotation, and evaluate their impact on human and mouse gut metaproteomic results. We found that both publicly available and experimental metagenomic databases lead to the identification of unique peptide assortments, suggesting parallel database searches as a mean to gain more complete information. Taxonomic and functional results were revealed to be strongly database-dependent, especially when dealing with mouse samples. As a striking example, in mouse the Firmicutes/Bacteroidetes ratio varied up to 10-fold depending on the database used. Finally, we provide recommendations regarding metagenomic sequence processing aimed at maximizing gut metaproteome characterization, and contribute to identify an optimized pipeline for metaproteomic data analysis.

2016-10-10 | PXD004039 | Pride

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