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  1. Article ; Online: Massively Parallel Profiling of Accessible Chromatin and Proteins with ASAP-Seq.

    Mimitou, Eleni P / Smibert, Peter / Lareau, Caleb A

    Methods in molecular biology (Clifton, N.J.)

    2023  Volume 2611, Page(s) 249–267

    Abstract: While methods such as the Assay for Transposase Accessible Chromatin by sequencing (ATAC-seq) enable a comprehensive characterization of regulatory DNA, additional measurements are required to characterize the multifaceted nature of eukaryotic cells. ... ...

    Abstract While methods such as the Assay for Transposase Accessible Chromatin by sequencing (ATAC-seq) enable a comprehensive characterization of regulatory DNA, additional measurements are required to characterize the multifaceted nature of eukaryotic cells. Here, we delineate the ATAC with Select Antigen Profiling by sequencing (ASAP-seq) protocol, a scalable approach to quantifying proteins via oligo-tagged antibodies alongside accessible DNA in thousands of single cells. Critically, our method utilizes a custom bridge oligo that enables the utilization of a variety of oligo-conjugated antibodies, enabling the utilization and repurposing of other commercial products. The ASAP-seq method can be completed with straightforward experimental and computational modifications existing single-cell ATAC-seq workflows but yields distinct modalities underlying complex cellular states, including estimation of protein abundance on the cell surface as well as intracellular and intranuclear factors.
    MeSH term(s) Chromatin ; High-Throughput Nucleotide Sequencing/methods ; Sequence Analysis, DNA/methods ; DNA/genetics ; Chromatin Immunoprecipitation Sequencing
    Chemical Substances Chromatin ; DNA (9007-49-2)
    Language English
    Publishing date 2023-02-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-2899-7_13
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Direct detection of RNA modifications and structure using single-molecule nanopore sequencing.

    Stephenson, William / Razaghi, Roham / Busan, Steven / Weeks, Kevin M / Timp, Winston / Smibert, Peter

    Cell genomics

    2022  Volume 2, Issue 2

    Abstract: Modifications are present on many classes of RNA, including tRNA, rRNA, and mRNA. These modifications modulate diverse biological processes such as genetic recoding and mRNA export and folding. In addition, modifications can be introduced to RNA ... ...

    Abstract Modifications are present on many classes of RNA, including tRNA, rRNA, and mRNA. These modifications modulate diverse biological processes such as genetic recoding and mRNA export and folding. In addition, modifications can be introduced to RNA molecules using chemical probing strategies that reveal RNA structure and dynamics. Many methods exist to detect RNA modifications by short-read sequencing; however, limitations on read length inherent to short-read-based methods dissociate modifications from their native context, preventing single-molecule modification analysis. Here, we demonstrate direct RNA nanopore sequencing to detect endogenous and exogenous RNA modifications on long RNAs at the single-molecule level. We detect endogenous 2'-
    Language English
    Publishing date 2022-02-07
    Publishing country United States
    Document type Journal Article
    ISSN 2666-979X
    ISSN (online) 2666-979X
    DOI 10.1016/j.xgen.2022.100097
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: An open source toolkit for repurposing Illumina sequencing systems as versatile fluidics and imaging platforms.

    Pandit, Kunal / Petrescu, Joana / Cuevas, Miguel / Stephenson, William / Smibert, Peter / Phatnani, Hemali / Maniatis, Silas

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 5081

    Abstract: Fluorescence microscopy is a key method in the life sciences. State of the art -omics methods combine fluorescence microscopy with complex protocols to visualize tens to thousands of features in each of millions of pixels across samples. These -omics ... ...

    Abstract Fluorescence microscopy is a key method in the life sciences. State of the art -omics methods combine fluorescence microscopy with complex protocols to visualize tens to thousands of features in each of millions of pixels across samples. These -omics methods require precise control of temperature, reagent application, and image acquisition parameters during iterative chemistry and imaging cycles conducted over the course of days or weeks. Automated execution of such methods enables robust and reproducible data generation. However, few commercial solutions exist for temperature controlled, fluidics coupled fluorescence imaging, and implementation of bespoke instrumentation requires specialized engineering expertise. Here we present PySeq2500, an open source Python code base and flow cell design that converts the Illumina HiSeq 2500 instrument, comprising an epifluorescence microscope with integrated fluidics, into an open platform for programmable applications without need for specialized engineering or software development expertise. Customizable PySeq2500 protocols enable experimental designs involving simultaneous 4-channel image acquisition, temperature control, reagent exchange, stable positioning, and sample integrity over extended experiments. To demonstrate accessible automation of complex, multi-day workflows, we use the PySeq2500 system for unattended execution of iterative indirect immunofluorescence imaging (4i). Our automated 4i method uses off-the-shelf antibodies over multiple cycles of staining, imaging, and antibody elution to build highly multiplexed maps of cell types and pathological features in mouse and postmortem human spinal cord sections. Given the widespread availability of HiSeq 2500 platforms and the simplicity of the modifications required to repurpose these systems, PySeq2500 enables non-specialists to develop and implement state of the art fluidics coupled imaging methods in a widely available benchtop system.
    MeSH term(s) Animals ; Feces ; High-Throughput Nucleotide Sequencing/methods ; Mice ; Optical Imaging ; Software ; Workflow
    Language English
    Publishing date 2022-03-24
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-08740-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: An open source toolkit for repurposing Illumina sequencing systems as versatile fluidics and imaging platforms

    Kunal Pandit / Joana Petrescu / Miguel Cuevas / William Stephenson / Peter Smibert / Hemali Phatnani / Silas Maniatis

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    2022  Volume 13

    Abstract: Abstract Fluorescence microscopy is a key method in the life sciences. State of the art -omics methods combine fluorescence microscopy with complex protocols to visualize tens to thousands of features in each of millions of pixels across samples. These - ... ...

    Abstract Abstract Fluorescence microscopy is a key method in the life sciences. State of the art -omics methods combine fluorescence microscopy with complex protocols to visualize tens to thousands of features in each of millions of pixels across samples. These -omics methods require precise control of temperature, reagent application, and image acquisition parameters during iterative chemistry and imaging cycles conducted over the course of days or weeks. Automated execution of such methods enables robust and reproducible data generation. However, few commercial solutions exist for temperature controlled, fluidics coupled fluorescence imaging, and implementation of bespoke instrumentation requires specialized engineering expertise. Here we present PySeq2500, an open source Python code base and flow cell design that converts the Illumina HiSeq 2500 instrument, comprising an epifluorescence microscope with integrated fluidics, into an open platform for programmable applications without need for specialized engineering or software development expertise. Customizable PySeq2500 protocols enable experimental designs involving simultaneous 4-channel image acquisition, temperature control, reagent exchange, stable positioning, and sample integrity over extended experiments. To demonstrate accessible automation of complex, multi-day workflows, we use the PySeq2500 system for unattended execution of iterative indirect immunofluorescence imaging (4i). Our automated 4i method uses off-the-shelf antibodies over multiple cycles of staining, imaging, and antibody elution to build highly multiplexed maps of cell types and pathological features in mouse and postmortem human spinal cord sections. Given the widespread availability of HiSeq 2500 platforms and the simplicity of the modifications required to repurpose these systems, PySeq2500 enables non-specialists to develop and implement state of the art fluidics coupled imaging methods in a widely available benchtop system.
    Keywords Medicine ; R ; Science ; Q
    Subject code 004
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Direct detection of RNA modifications and structure using single-molecule nanopore sequencing

    William Stephenson / Roham Razaghi / Steven Busan / Kevin M. Weeks / Winston Timp / Peter Smibert

    Cell Genomics, Vol 2, Iss 2, Pp 100097- (2022)

    2022  

    Abstract: Summary: Modifications are present on many classes of RNA, including tRNA, rRNA, and mRNA. These modifications modulate diverse biological processes such as genetic recoding and mRNA export and folding. In addition, modifications can be introduced to RNA ...

    Abstract Summary: Modifications are present on many classes of RNA, including tRNA, rRNA, and mRNA. These modifications modulate diverse biological processes such as genetic recoding and mRNA export and folding. In addition, modifications can be introduced to RNA molecules using chemical probing strategies that reveal RNA structure and dynamics. Many methods exist to detect RNA modifications by short-read sequencing; however, limitations on read length inherent to short-read-based methods dissociate modifications from their native context, preventing single-molecule modification analysis. Here, we demonstrate direct RNA nanopore sequencing to detect endogenous and exogenous RNA modifications on long RNAs at the single-molecule level. We detect endogenous 2′-O-methyl and base modifications across E. coli and S. cerevisiae ribosomal RNAs as shifts in current signal and dwell times distally through interactions with the helicase motor protein. We further use the 2′-hydroxyl reactive SHAPE reagent acetylimidazole to probe RNA structure at the single-molecule level with readout by direct nanopore sequencing.
    Keywords RNA ; nanopore ; direct RNA nanopore sequencing ; RNA modifications ; RNA structure ; long-read ; Genetics ; QH426-470 ; Internal medicine ; RC31-1245
    Subject code 612
    Language English
    Publishing date 2022-02-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro.

    Zhang, Bingjie / Srivastava, Avi / Mimitou, Eleni / Stuart, Tim / Raimondi, Ivan / Hao, Yuhan / Smibert, Peter / Satija, Rahul

    Nature biotechnology

    2022  Volume 40, Issue 8, Page(s) 1220–1230

    Abstract: Technologies that profile chromatin modifications at single-cell resolution offer enormous promise for functional genomic characterization, but the sparsity of the measurements and integrating multiple binding maps represent substantial challenges. Here ... ...

    Abstract Technologies that profile chromatin modifications at single-cell resolution offer enormous promise for functional genomic characterization, but the sparsity of the measurements and integrating multiple binding maps represent substantial challenges. Here we introduce single-cell (sc)CUT&Tag-pro, a multimodal assay for profiling protein-DNA interactions coupled with the abundance of surface proteins in single cells. In addition, we introduce single-cell ChromHMM, which integrates data from multiple experiments to infer and annotate chromatin states based on combinatorial histone modification patterns. We apply these tools to perform an integrated analysis across nine different molecular modalities in circulating human immune cells. We demonstrate how these two approaches can characterize dynamic changes in the function of individual genomic elements across both discrete cell states and continuous developmental trajectories, nominate associated motifs and regulators that establish chromatin states and identify extensive and cell-type-specific regulatory priming. Finally, we demonstrate how our integrated reference can serve as a scaffold to map and improve the interpretation of additional scCUT&Tag datasets.
    MeSH term(s) Chromatin/genetics ; Chromatin Immunoprecipitation ; DNA ; Genomics ; Histones/genetics ; Histones/metabolism ; Humans
    Chemical Substances Chromatin ; Histones ; DNA (9007-49-2)
    Language English
    Publishing date 2022-03-24
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1311932-1
    ISSN 1546-1696 ; 1087-0156
    ISSN (online) 1546-1696
    ISSN 1087-0156
    DOI 10.1038/s41587-022-01250-0
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  7. Article ; Online: Integrating single-cell transcriptomic data across different conditions, technologies, and species.

    Butler, Andrew / Hoffman, Paul / Smibert, Peter / Papalexi, Efthymia / Satija, Rahul

    Nature biotechnology

    2018  Volume 36, Issue 5, Page(s) 411–420

    Abstract: Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied to experiments representing a single condition, technology, or species to discover and define cellular phenotypes. However, identifying subpopulations of cells that are ... ...

    Abstract Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied to experiments representing a single condition, technology, or species to discover and define cellular phenotypes. However, identifying subpopulations of cells that are present across multiple data sets remains challenging. Here, we introduce an analytical strategy for integrating scRNA-seq data sets based on common sources of variation, enabling the identification of shared populations across data sets and downstream comparative analysis. We apply this approach, implemented in our R toolkit Seurat (http://satijalab.org/seurat/), to align scRNA-seq data sets of peripheral blood mononuclear cells under resting and stimulated conditions, hematopoietic progenitors sequenced using two profiling technologies, and pancreatic cell 'atlases' generated from human and mouse islets. In each case, we learn distinct or transitional cell states jointly across data sets, while boosting statistical power through integrated analysis. Our approach facilitates general comparisons of scRNA-seq data sets, potentially deepening our understanding of how distinct cell states respond to perturbation, disease, and evolution.
    MeSH term(s) Animals ; Computers, Molecular ; Data Analysis ; Gene Expression Profiling ; High-Throughput Nucleotide Sequencing/methods ; Humans ; Leukocytes, Mononuclear/chemistry ; Mice ; Sequence Analysis, RNA/methods ; Single-Cell Analysis/methods ; Software ; Transcriptome/genetics
    Language English
    Publishing date 2018-04-02
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 1311932-1
    ISSN 1546-1696 ; 1087-0156
    ISSN (online) 1546-1696
    ISSN 1087-0156
    DOI 10.1038/nbt.4096
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  8. Article ; Online: Correction: Neural specificity of the RNA-binding protein Elav is achieved by post-transcriptional repression in non-neural tissues.

    Sanfilippo, Piero / Smibert, Peter / Duan, Hong / Lai, Eric C

    Development (Cambridge, England)

    2017  Volume 144, Issue 8, Page(s) 1578

    Language English
    Publishing date 2017--15
    Publishing country England
    Document type Journal Article ; Published Erratum
    ZDB-ID 90607-4
    ISSN 1477-9129 ; 0950-1991
    ISSN (online) 1477-9129
    ISSN 0950-1991
    DOI 10.1242/dev.151753
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Discovery of target genes and pathways at GWAS loci by pooled single-cell CRISPR screens.

    Morris, John A / Caragine, Christina / Daniloski, Zharko / Domingo, Júlia / Barry, Timothy / Lu, Lu / Davis, Kyrie / Ziosi, Marcello / Glinos, Dafni A / Hao, Stephanie / Mimitou, Eleni P / Smibert, Peter / Roeder, Kathryn / Katsevich, Eugene / Lappalainen, Tuuli / Sanjana, Neville E

    Science (New York, N.Y.)

    2023  Volume 380, Issue 6646, Page(s) eadh7699

    Abstract: Most variants associated with complex traits and diseases identified by genome-wide association studies (GWAS) map to noncoding regions of the genome with unknown effects. Using ancestrally diverse, biobank-scale GWAS data, massively parallel CRISPR ... ...

    Abstract Most variants associated with complex traits and diseases identified by genome-wide association studies (GWAS) map to noncoding regions of the genome with unknown effects. Using ancestrally diverse, biobank-scale GWAS data, massively parallel CRISPR screens, and single-cell transcriptomic and proteomic sequencing, we discovered 124
    MeSH term(s) Humans ; Clustered Regularly Interspaced Short Palindromic Repeats ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Polymorphism, Single Nucleotide ; Proteomics ; Quantitative Trait Loci ; Single-Cell Analysis ; Multifactorial Inheritance ; Blood Cells ; RNA-Seq ; Disease/genetics
    Language English
    Publishing date 2023-05-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.adh7699
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  10. Article ; Online: A genome-scale screen for synthetic drivers of T cell proliferation.

    Legut, Mateusz / Gajic, Zoran / Guarino, Maria / Daniloski, Zharko / Rahman, Jahan A / Xue, Xinhe / Lu, Congyi / Lu, Lu / Mimitou, Eleni P / Hao, Stephanie / Davoli, Teresa / Diefenbach, Catherine / Smibert, Peter / Sanjana, Neville E

    Nature

    2022  Volume 603, Issue 7902, Page(s) 728–735

    Abstract: The engineering of autologous patient T cells for adoptive cell therapies has revolutionized the treatment of several types of ... ...

    Abstract The engineering of autologous patient T cells for adoptive cell therapies has revolutionized the treatment of several types of cancer
    MeSH term(s) CD4-Positive T-Lymphocytes ; CD8-Positive T-Lymphocytes ; Cell Proliferation ; Humans ; Immunotherapy, Adoptive ; Lymphocyte Activation/genetics ; Neoplasms
    Language English
    Publishing date 2022-03-16
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/s41586-022-04494-7
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