Here's how LINK.SPRINGER.COM makes money* and how much!

*Please read our disclaimer before using our estimates.
Loading...

LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Schema
  10. External Links
  11. Analytics And Tracking
  12. Libraries
  13. CDN Services

We are analyzing https://link.springer.com/article/10.1186/gb-2008-9-1-r3.

Title:
Systematic analysis of transcribed loci in ENCODE regions using RACE sequencing reveals extensive transcription in the human genome | Genome Biology
Description:
Background Recent studies of the mammalian transcriptome have revealed a large number of additional transcribed regions and extraordinary complexity in transcript diversity. However, there is still much uncertainty regarding precisely what portion of the genome is transcribed, the exact structures of these novel transcripts, and the levels of the transcripts produced. Results We have interrogated the transcribed loci in 420 selected ENCyclopedia Of DNA Elements (ENCODE) regions using rapid amplification of cDNA ends (RACE) sequencing. We analyzed annotated known gene regions, but primarily we focused on novel transcriptionally active regions (TARs), which were previously identified by high-density oligonucleotide tiling arrays and on random regions that were not believed to be transcribed. We found RACE sequencing to be very sensitive and were able to detect low levels of transcripts in specific cell types that were not detectable by microarrays. We also observed many instances of sense-antisense transcripts; further analysis suggests that many of the antisense transcripts (but not all) may be artifacts generated from the reverse transcription reaction. Our results show that the majority of the novel TARs analyzed (60%) are connected to other novel TARs or known exons. Of previously unannotated random regions, 17% were shown to produce overlapping transcripts. Furthermore, it is estimated that 9% of the novel transcripts encode proteins. Conclusion We conclude that RACE sequencing is an efficient, sensitive, and highly accurate method for characterization of the transcriptome of specific cell/tissue types. Using this method, it appears that much of the genome is represented in polyA+ RNA. Moreover, a fraction of the novel RNAs can encode protein and are likely to be functional.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Science
  • Sports

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? {💸}

The income method remains a mystery to us.

Earning money isn't the goal of every website; some are designed to offer support or promote social causes. People have different reasons for creating websites. This might be one such reason. Link.springer.com might be plotting its profit, but the way they're doing it isn't detectable yet.

Keywords {🔍}

regions, race, transcripts, genome, pubmed, article, rna, human, products, google, scholar, transcription, antisense, analysis, sequencing, cas, gene, sequences, cdna, transcribed, encode, tars, figure, transcript, additional, genes, splice, reverse, protein, sequence, pcr, consensus, data, previously, file, exons, total, primers, detected, central, strand, expression, tiling, shown, region, science, usa, transcriptome, produced, coding,

Topics {✒️}

large-scale rt-pcr recovery long-read high-throughput sequencing large-scale rt-pcr analysis real-time pcr quantification real-time quantitative pcr high-density tiling arrays 1186/gb-2006-7-s1-s4 article number r3 /sis/rtpcr/upl/adc article download pdf gov/sage/anatomicviewer] perocchi specific cell/tissue types genome-wide mutant collections central nervous system database similarity search cell type specific developmental biology department sense-antisense transcription phenomena create single-stranded cdna full-length cdna clones sequencing full-length cdna article published online jia qian wu strand-specific microarray produced authors’ original file tiling array experiments tiling array studies make 5'-race-ready cdna privacy choices/manage cookies specific cell types open reading frames additional data files cooper sj genome tiling arrays nested universal primer genomic tiling arrays comprehensive search full size image intergenic regions distal sage adaptor ligation mol cell endocrinol tiling microarray analysis synapsin iii gene encode pilot project entire pcr reaction consensus splice sites consensus splice site signal intensity data antisense transcription occurs purported antisense transcription

Questions {❓}

  • How much of the human genome produces transcripts that are present in the mRNA population?
  • Vanhee-Brossollet C, Vaquero C: Do natural antisense transcripts make sense in eukaryotes?

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Systematic analysis of transcribed loci in ENCODE regions using RACE sequencing reveals extensive transcription in the human genome
         description:Recent studies of the mammalian transcriptome have revealed a large number of additional transcribed regions and extraordinary complexity in transcript diversity. However, there is still much uncertainty regarding precisely what portion of the genome is transcribed, the exact structures of these novel transcripts, and the levels of the transcripts produced. We have interrogated the transcribed loci in 420 selected ENCyclopedia Of DNA Elements (ENCODE) regions using rapid amplification of cDNA ends (RACE) sequencing. We analyzed annotated known gene regions, but primarily we focused on novel transcriptionally active regions (TARs), which were previously identified by high-density oligonucleotide tiling arrays and on random regions that were not believed to be transcribed. We found RACE sequencing to be very sensitive and were able to detect low levels of transcripts in specific cell types that were not detectable by microarrays. We also observed many instances of sense-antisense transcripts; further analysis suggests that many of the antisense transcripts (but not all) may be artifacts generated from the reverse transcription reaction. Our results show that the majority of the novel TARs analyzed (60%) are connected to other novel TARs or known exons. Of previously unannotated random regions, 17% were shown to produce overlapping transcripts. Furthermore, it is estimated that 9% of the novel transcripts encode proteins. We conclude that RACE sequencing is an efficient, sensitive, and highly accurate method for characterization of the transcriptome of specific cell/tissue types. Using this method, it appears that much of the genome is represented in polyA+ RNA. Moreover, a fraction of the novel RNAs can encode protein and are likely to be functional.
         datePublished:2008-01-03T00:00:00Z
         dateModified:2008-01-03T00:00:00Z
         pageStart:1
         pageEnd:14
         license:http://creativecommons.org/licenses/by/2.0/
         sameAs:https://doi.org/10.1186/gb-2008-9-1-r3
         keywords:
            Additional Data File
            Antisense Transcript
            Tiling Array
            Antisense Transcription
            Encode Region
            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%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig1_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig2_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig3_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig4_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig5_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig6_HTML.jpg
         isPartOf:
            name:Genome Biology
            issn:
               1474-760X
            volumeNumber:9
            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:Jia Qian Wu
               affiliation:
                     name:Yale University
                     address:
                        name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Jiang Du
               affiliation:
                     name:Yale University
                     address:
                        name:Computer Science Department, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Joel Rozowsky
               affiliation:
                     name:Yale University
                     address:
                        name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Zhengdong Zhang
               affiliation:
                     name:Yale University
                     address:
                        name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Alexander E Urban
               affiliation:
                     name:Yale University
                     address:
                        name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Ghia Euskirchen
               affiliation:
                     name:Yale University
                     address:
                        name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Sherman Weissman
               affiliation:
                     name:Yale University
                     address:
                        name:Genetics Department, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Mark Gerstein
               affiliation:
                     name:Yale University
                     address:
                        name:Computer Science Department, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
                     name:Yale University
                     address:
                        name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Michael Snyder
               affiliation:
                     name:Yale University
                     address:
                        name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
                     name:Yale University
                     address:
                        name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
                        type:PostalAddress
                     type:Organization
               email:[email protected]
               type:Person
         isAccessibleForFree:1
         type:ScholarlyArticle
      context:https://schema.org
ScholarlyArticle:
      headline:Systematic analysis of transcribed loci in ENCODE regions using RACE sequencing reveals extensive transcription in the human genome
      description:Recent studies of the mammalian transcriptome have revealed a large number of additional transcribed regions and extraordinary complexity in transcript diversity. However, there is still much uncertainty regarding precisely what portion of the genome is transcribed, the exact structures of these novel transcripts, and the levels of the transcripts produced. We have interrogated the transcribed loci in 420 selected ENCyclopedia Of DNA Elements (ENCODE) regions using rapid amplification of cDNA ends (RACE) sequencing. We analyzed annotated known gene regions, but primarily we focused on novel transcriptionally active regions (TARs), which were previously identified by high-density oligonucleotide tiling arrays and on random regions that were not believed to be transcribed. We found RACE sequencing to be very sensitive and were able to detect low levels of transcripts in specific cell types that were not detectable by microarrays. We also observed many instances of sense-antisense transcripts; further analysis suggests that many of the antisense transcripts (but not all) may be artifacts generated from the reverse transcription reaction. Our results show that the majority of the novel TARs analyzed (60%) are connected to other novel TARs or known exons. Of previously unannotated random regions, 17% were shown to produce overlapping transcripts. Furthermore, it is estimated that 9% of the novel transcripts encode proteins. We conclude that RACE sequencing is an efficient, sensitive, and highly accurate method for characterization of the transcriptome of specific cell/tissue types. Using this method, it appears that much of the genome is represented in polyA+ RNA. Moreover, a fraction of the novel RNAs can encode protein and are likely to be functional.
      datePublished:2008-01-03T00:00:00Z
      dateModified:2008-01-03T00:00:00Z
      pageStart:1
      pageEnd:14
      license:http://creativecommons.org/licenses/by/2.0/
      sameAs:https://doi.org/10.1186/gb-2008-9-1-r3
      keywords:
         Additional Data File
         Antisense Transcript
         Tiling Array
         Antisense Transcription
         Encode Region
         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%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig1_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig2_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig3_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig4_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig5_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fgb-2008-9-1-r3/MediaObjects/13059_2007_Article_1865_Fig6_HTML.jpg
      isPartOf:
         name:Genome Biology
         issn:
            1474-760X
         volumeNumber:9
         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:Jia Qian Wu
            affiliation:
                  name:Yale University
                  address:
                     name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Jiang Du
            affiliation:
                  name:Yale University
                  address:
                     name:Computer Science Department, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Joel Rozowsky
            affiliation:
                  name:Yale University
                  address:
                     name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Zhengdong Zhang
            affiliation:
                  name:Yale University
                  address:
                     name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Alexander E Urban
            affiliation:
                  name:Yale University
                  address:
                     name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Ghia Euskirchen
            affiliation:
                  name:Yale University
                  address:
                     name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Sherman Weissman
            affiliation:
                  name:Yale University
                  address:
                     name:Genetics Department, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Mark Gerstein
            affiliation:
                  name:Yale University
                  address:
                     name:Computer Science Department, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
                  name:Yale University
                  address:
                     name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Michael Snyder
            affiliation:
                  name:Yale University
                  address:
                     name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
                  name:Yale University
                  address:
                     name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
      isAccessibleForFree:1
["Periodical","PublicationVolume"]:
      name:Genome Biology
      issn:
         1474-760X
      volumeNumber:9
Organization:
      name:BioMed Central
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:Yale University
      address:
         name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Computer Science Department, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Genetics Department, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Computer Science Department, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
         type:PostalAddress
      name:Yale University
      address:
         name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Jia Qian Wu
      affiliation:
            name:Yale University
            address:
               name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
      name:Jiang Du
      affiliation:
            name:Yale University
            address:
               name:Computer Science Department, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
      name:Joel Rozowsky
      affiliation:
            name:Yale University
            address:
               name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
      name:Zhengdong Zhang
      affiliation:
            name:Yale University
            address:
               name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
      name:Alexander E Urban
      affiliation:
            name:Yale University
            address:
               name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
      name:Ghia Euskirchen
      affiliation:
            name:Yale University
            address:
               name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
      name:Sherman Weissman
      affiliation:
            name:Yale University
            address:
               name:Genetics Department, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
      name:Mark Gerstein
      affiliation:
            name:Yale University
            address:
               name:Computer Science Department, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
            name:Yale University
            address:
               name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
      name:Michael Snyder
      affiliation:
            name:Yale University
            address:
               name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
            name:Yale University
            address:
               name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
      name:Computer Science Department, Yale University, New Haven, USA
      name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
      name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
      name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
      name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
      name:Genetics Department, Yale University, New Haven, USA
      name:Computer Science Department, Yale University, New Haven, USA
      name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA
      name:Molecular, Cellular and Developmental Biology Department, KBT918, Yale University, New Haven, USA
      name:Molecular Biophysics and Biochemistry Department, Yale University, New Haven, USA

External Links {🔗}(197)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Clipboard.js
  • Prism.js

CDN Services {📦}

  • Crossref

6.08s.