We are analyzing https://link.springer.com/article/10.1186/s13059-018-1603-1.

Title:
Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics | Genome Biology
Description:
Despite rapid developments in single cell sequencing, sample-specific batch effects, detection of cell multiplets, and experimental costs remain outstanding challenges. Here, we introduce Cell Hashing, where oligo-tagged antibodies against ubiquitously expressed surface proteins uniquely label cells from distinct samples, which can be subsequently pooled. By sequencing these tags alongside the cellular transcriptome, we can assign each cell to its original sample, robustly identify cross-sample multiplets, and “super-load” commercial droplet-based systems for significant cost reduction. We validate our approach using a complementary genetic approach and demonstrate how hashing can generalize the benefits of single cell multiplexing to diverse samples and experimental designs.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

Science
Telecommunications
Education

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month

Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Link.springer.com Make Money? {💸}

We see no obvious way the site makes money.

Not all websites are made for profit; some exist to inform or educate users. Or any other reason why people make websites. And this might be the case. Link.springer.com might be cashing in, but we can't detect the method they're using.

Keywords {🔍}

cell, cells, hto, antibodies, barcodes, hashing, single, based, sample, fig, data, article, multiplexing, rna, negative, singlecell, multiplets, singlets, classified, demuxlet, google, scholar, genomics, expression, citeseq, antibody, methods, sequencing, samples, umi, adt, usa, expressed, hekt, highly, scrnaseq, levels, additional, file, experiment, counts, classification, performed, surface, human, htos, observed, positive, concentrations, cas,

Topics {✒️}

high-throughput drug screening $$ \mathrm{si}=\frac{{\mathrm{pos}}_{0 single-cell rna-seq reveals multiplexed single-cell rna-seq scaling single-cell genomics 5}}{2\times \mathrm{mad}\left single-cell rna-sequencing experiments sodium-potassium atpase-subunit trans-cyclooctene-peg4-acid hg19-mm10 concatenated reference single-stranded polya oligos single-cell rna-seq data-driven phenotypic dissection commercial droplet-based systems trans-cyclooctene-peg4-nhs gov/geo/query/acc single-cell rna sequencing single-cell transcriptome resolution cell isolation methyltetrazine-peg4-nhs ester commercial scrna-seq platforms measured alongside scrna-seq single scrna-seq experiment single-cell transcriptomics applied antibody-oligo conjugates provided single cell genomics low-resolution pre-clustering ubiquitous surface proteins standard scrna-seq protocols cite-seq antibody panels antibody-oligo conjugation protocols cite-seq immunophenotyping antibodies biasing scrna-seq results drop-seq tools v1 predicted cell-type expression initial k-medoids clustering 10x genomics instrument standard drop-seq pipeline discriminating low-quality cells article download pdf cell surface proteins /hoohm/cite-seq-count 10x chromium instrument 10x genomics libraries recover low-quality cells full size image york genome center sample-specific batch effects immune system high dimensional data

Questions {❓}

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics
         description:Despite rapid developments in single cell sequencing, sample-specific batch effects, detection of cell multiplets, and experimental costs remain outstanding challenges. Here, we introduce Cell Hashing, where oligo-tagged antibodies against ubiquitously expressed surface proteins uniquely label cells from distinct samples, which can be subsequently pooled. By sequencing these tags alongside the cellular transcriptome, we can assign each cell to its original sample, robustly identify cross-sample multiplets, and “super-load” commercial droplet-based systems for significant cost reduction. We validate our approach using a complementary genetic approach and demonstrate how hashing can generalize the benefits of single cell multiplexing to diverse samples and experimental designs.
         datePublished:2018-12-19T00:00:00Z
         dateModified:2018-12-19T00:00:00Z
         pageStart:1
         pageEnd:12
         license:http://creativecommons.org/publicdomain/zero/1.0/
         sameAs:https://doi.org/10.1186/s13059-018-1603-1
         keywords:
            Animal Genetics and Genomics
            Human Genetics
            Plant Genetics and Genomics
            Microbial Genetics and Genomics
            Bioinformatics
            Evolutionary Biology
         image:
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs13059-018-1603-1/MediaObjects/13059_2018_1603_Fig1_HTML.png
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs13059-018-1603-1/MediaObjects/13059_2018_1603_Fig2_HTML.png
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs13059-018-1603-1/MediaObjects/13059_2018_1603_Fig3_HTML.png
         isPartOf:
            name:Genome Biology
            issn:
               1474-760X
            volumeNumber:19
            type:
               Periodical
               PublicationVolume
         publisher:
            name:BioMed Central
            logo:
               url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
               type:ImageObject
            type:Organization
         author:
               name:Marlon Stoeckius
               affiliation:
                     name:New York Genome Center
                     address:
                        name:Technology Innovation Lab, New York Genome Center, New York, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Shiwei Zheng
               affiliation:
                     name:New York Genome Center
                     address:
                        name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Brian Houck-Loomis
               affiliation:
                     name:New York Genome Center
                     address:
                        name:Technology Innovation Lab, New York Genome Center, New York, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Stephanie Hao
               affiliation:
                     name:New York Genome Center
                     address:
                        name:Technology Innovation Lab, New York Genome Center, New York, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Bertrand Z. Yeung
               affiliation:
                     name:BioLegend Inc.
                     address:
                        name:BioLegend Inc., San Diego, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:William M. Mauck
               affiliation:
                     name:New York Genome Center
                     address:
                        name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Peter Smibert
               affiliation:
                     name:New York Genome Center
                     address:
                        name:Technology Innovation Lab, New York Genome Center, New York, USA
                        type:PostalAddress
                     type:Organization
               email:[email protected]
               type:Person
               name:Rahul Satija
               url:http://orcid.org/0000-0001-9448-8833
               affiliation:
                     name:New York Genome Center
                     address:
                        name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
                        type:PostalAddress
                     type:Organization
               email:[email protected]
               type:Person
         isAccessibleForFree:1
         type:ScholarlyArticle
      context:https://schema.org
ScholarlyArticle:
      headline:Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics
      description:Despite rapid developments in single cell sequencing, sample-specific batch effects, detection of cell multiplets, and experimental costs remain outstanding challenges. Here, we introduce Cell Hashing, where oligo-tagged antibodies against ubiquitously expressed surface proteins uniquely label cells from distinct samples, which can be subsequently pooled. By sequencing these tags alongside the cellular transcriptome, we can assign each cell to its original sample, robustly identify cross-sample multiplets, and “super-load” commercial droplet-based systems for significant cost reduction. We validate our approach using a complementary genetic approach and demonstrate how hashing can generalize the benefits of single cell multiplexing to diverse samples and experimental designs.
      datePublished:2018-12-19T00:00:00Z
      dateModified:2018-12-19T00:00:00Z
      pageStart:1
      pageEnd:12
      license:http://creativecommons.org/publicdomain/zero/1.0/
      sameAs:https://doi.org/10.1186/s13059-018-1603-1
      keywords:
         Animal Genetics and Genomics
         Human Genetics
         Plant Genetics and Genomics
         Microbial Genetics and Genomics
         Bioinformatics
         Evolutionary Biology
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs13059-018-1603-1/MediaObjects/13059_2018_1603_Fig1_HTML.png
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs13059-018-1603-1/MediaObjects/13059_2018_1603_Fig2_HTML.png
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs13059-018-1603-1/MediaObjects/13059_2018_1603_Fig3_HTML.png
      isPartOf:
         name:Genome Biology
         issn:
            1474-760X
         volumeNumber:19
         type:
            Periodical
            PublicationVolume
      publisher:
         name:BioMed Central
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Marlon Stoeckius
            affiliation:
                  name:New York Genome Center
                  address:
                     name:Technology Innovation Lab, New York Genome Center, New York, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Shiwei Zheng
            affiliation:
                  name:New York Genome Center
                  address:
                     name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Brian Houck-Loomis
            affiliation:
                  name:New York Genome Center
                  address:
                     name:Technology Innovation Lab, New York Genome Center, New York, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Stephanie Hao
            affiliation:
                  name:New York Genome Center
                  address:
                     name:Technology Innovation Lab, New York Genome Center, New York, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Bertrand Z. Yeung
            affiliation:
                  name:BioLegend Inc.
                  address:
                     name:BioLegend Inc., San Diego, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:William M. Mauck
            affiliation:
                  name:New York Genome Center
                  address:
                     name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Peter Smibert
            affiliation:
                  name:New York Genome Center
                  address:
                     name:Technology Innovation Lab, New York Genome Center, New York, USA
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
            name:Rahul Satija
            url:http://orcid.org/0000-0001-9448-8833
            affiliation:
                  name:New York Genome Center
                  address:
                     name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
      isAccessibleForFree:1
["Periodical","PublicationVolume"]:
      name:Genome Biology
      issn:
         1474-760X
      volumeNumber:19
Organization:
      name:BioMed Central
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:New York Genome Center
      address:
         name:Technology Innovation Lab, New York Genome Center, New York, USA
         type:PostalAddress
      name:New York Genome Center
      address:
         name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
         type:PostalAddress
      name:New York Genome Center
      address:
         name:Technology Innovation Lab, New York Genome Center, New York, USA
         type:PostalAddress
      name:New York Genome Center
      address:
         name:Technology Innovation Lab, New York Genome Center, New York, USA
         type:PostalAddress
      name:BioLegend Inc.
      address:
         name:BioLegend Inc., San Diego, USA
         type:PostalAddress
      name:New York Genome Center
      address:
         name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
         type:PostalAddress
      name:New York Genome Center
      address:
         name:Technology Innovation Lab, New York Genome Center, New York, USA
         type:PostalAddress
      name:New York Genome Center
      address:
         name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Marlon Stoeckius
      affiliation:
            name:New York Genome Center
            address:
               name:Technology Innovation Lab, New York Genome Center, New York, USA
               type:PostalAddress
            type:Organization
      name:Shiwei Zheng
      affiliation:
            name:New York Genome Center
            address:
               name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
               type:PostalAddress
            type:Organization
      name:Brian Houck-Loomis
      affiliation:
            name:New York Genome Center
            address:
               name:Technology Innovation Lab, New York Genome Center, New York, USA
               type:PostalAddress
            type:Organization
      name:Stephanie Hao
      affiliation:
            name:New York Genome Center
            address:
               name:Technology Innovation Lab, New York Genome Center, New York, USA
               type:PostalAddress
            type:Organization
      name:Bertrand Z. Yeung
      affiliation:
            name:BioLegend Inc.
            address:
               name:BioLegend Inc., San Diego, USA
               type:PostalAddress
            type:Organization
      name:William M. Mauck
      affiliation:
            name:New York Genome Center
            address:
               name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
               type:PostalAddress
            type:Organization
      name:Peter Smibert
      affiliation:
            name:New York Genome Center
            address:
               name:Technology Innovation Lab, New York Genome Center, New York, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Rahul Satija
      url:http://orcid.org/0000-0001-9448-8833
      affiliation:
            name:New York Genome Center
            address:
               name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Technology Innovation Lab, New York Genome Center, New York, USA
      name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
      name:Technology Innovation Lab, New York Genome Center, New York, USA
      name:Technology Innovation Lab, New York Genome Center, New York, USA
      name:BioLegend Inc., San Diego, USA
      name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA
      name:Technology Innovation Lab, New York Genome Center, New York, USA
      name:NYU Center for Genomics and Systems Biology, New York Genome Center, New York, USA

External Links {🔗}(103)

Analytics and Tracking {📊}

Google Tag Manager

Libraries {📚}

Clipboard.js
Prism.js

CDN Services {📦}

Crossref

4.83s.

LINK . SPRINGER . COM {}