3′ MACE RNA-sequencing allows for transcriptome profiling in human tissue samples after long-term storage
This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3′ massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of fresh tissue and describes transcriptome profiling of formalin-fixed paraffin-embedded (FFPE) archival human samples by MACE. To compare MACE...
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Published in | Laboratory investigation Vol. 100; no. 10; pp. 1345 - 1355 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Inc
01.10.2020
Nature Publishing Group US Nature Publishing Group |
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Abstract | This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3′ massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of fresh tissue and describes transcriptome profiling of formalin-fixed paraffin-embedded (FFPE) archival human samples by MACE. To compare MACE to standard RNA-Seq on fresh tissue, four healthy conjunctiva from four subjects were collected during vitreoretinal surgery, halved and immediately transferred to RNA lysis buffer without prior fixation and then processed for either standard RNA-Seq or MACE RNA-Seq analysis. To assess the impact of FFPE preparation on MACE, a third part was fixed in formalin and processed for paraffin embedding, and its transcriptional profile was compared with the unfixed specimens analyzed by MACE. To investigate the impact of FFPE storage time on MACE results, 24 FFPE-treated conjunctival samples from 24 patients were analyzed as well. Nineteen thousand six hundred fifty-nine transcribed genes were detected by both MACE and standard RNA-Seq on fresh tissue, while 3251 and 2213 transcripts were identified explicitly by MACE or RNA-Seq, respectively. Standard RNA-Seq tended to yield longer detected transcripts more often than MACE technology despite normalization, indicating that the MACE technology is less susceptible to a length bias. FFPE processing revealed negligible effects on MACE sequencing results. Several quality-control measurements showed that long-term storage in paraffin did not decrease the diversity of MACE libraries. We noted a nonlinear relation between storage time and the number of raw reads with an accelerated decrease within the first 1000 days in paraffin, while the numbers remained relatively stable in older samples. Interestingly, the number of transcribed genes detected was independent on FFPE storage time. RNA of sufficient quality and quantity can be extracted from FFPE samples to obtain comprehensive transcriptome profiling using MACE technology. We thus present MACE as a novel opportunity for utilizing FFPE samples stored in histological archives.
RNA of sufficient quality and quantity can be extracted from formalin-fixed paraffin-embedded (FFPE) samples to obtain comprehensive transcriptome profiling using the 3′ massive analysis of c-DNA ends (MACE) RNA-sequencing technology. Thus, MACE provides an opportunity for utilizing FFPE samples stored in histological archives. |
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AbstractList | This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3' massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of fresh tissue and describes transcriptome profiling of formalin-fixed paraffin-embedded (FFPE) archival human samples by MACE. To compare MACE to standard RNA-Seq on fresh tissue, four healthy conjunctiva from four subjects were collected during vitreoretinal surgery, halved and immediately transferred to RNA lysis buffer without prior fixation and then processed for either standard RNA-Seq or MACE RNA-Seq analysis. To assess the impact of FFPE preparation on MACE, a third part was fixed in formalin and processed for paraffin embedding, and its transcriptional profile was compared with the unfixed specimens analyzed by MACE. To investigate the impact of FFPE storage time on MACE results, 24 FFPE-treated conjunctival samples from 24 patients were analyzed as well. Nineteen thousand six hundred fifty-nine transcribed genes were detected by both MACE and standard RNA-Seq on fresh tissue, while 3251 and 2213 transcripts were identified explicitly by MACE or RNA-Seq, respectively. Standard RNA-Seq tended to yield longer detected transcripts more often than MACE technology despite normalization, indicating that the MACE technology is less susceptible to a length bias. FFPE processing revealed negligible effects on MACE sequencing results. Several quality-control measurements showed that long-term storage in paraffin did not decrease the diversity of MACE libraries. We noted a nonlinear relation between storage time and the number of raw reads with an accelerated decrease within the first 1000 days in paraffin, while the numbers remained relatively stable in older samples. Interestingly, the number of transcribed genes detected was independent on FFPE storage time. RNA of sufficient quality and quantity can be extracted from FFPE samples to obtain comprehensive transcriptome profiling using MACE technology. We thus present MACE as a novel opportunity for utilizing FFPE samples stored in histological archives. This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3′ massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of fresh tissue and describes transcriptome profiling of formalin-fixed paraffin-embedded (FFPE) archival human samples by MACE. To compare MACE to standard RNA-Seq on fresh tissue, four healthy conjunctiva from four subjects were collected during vitreoretinal surgery, halved and immediately transferred to RNA lysis buffer without prior fixation and then processed for either standard RNA-Seq or MACE RNA-Seq analysis. To assess the impact of FFPE preparation on MACE, a third part was fixed in formalin and processed for paraffin embedding, and its transcriptional profile was compared with the unfixed specimens analyzed by MACE. To investigate the impact of FFPE storage time on MACE results, 24 FFPE-treated conjunctival samples from 24 patients were analyzed as well. Nineteen thousand six hundred fifty-nine transcribed genes were detected by both MACE and standard RNA-Seq on fresh tissue, while 3251 and 2213 transcripts were identified explicitly by MACE or RNA-Seq, respectively. Standard RNA-Seq tended to yield longer detected transcripts more often than MACE technology despite normalization, indicating that the MACE technology is less susceptible to a length bias. FFPE processing revealed negligible effects on MACE sequencing results. Several quality-control measurements showed that long-term storage in paraffin did not decrease the diversity of MACE libraries. We noted a nonlinear relation between storage time and the number of raw reads with an accelerated decrease within the first 1000 days in paraffin, while the numbers remained relatively stable in older samples. Interestingly, the number of transcribed genes detected was independent on FFPE storage time. RNA of sufficient quality and quantity can be extracted from FFPE samples to obtain comprehensive transcriptome profiling using MACE technology. We thus present MACE as a novel opportunity for utilizing FFPE samples stored in histological archives. RNA of sufficient quality and quantity can be extracted from formalin-fixed paraffin-embedded (FFPE) samples to obtain comprehensive transcriptome profiling using the 3′ massive analysis of c-DNA ends (MACE) RNA-sequencing technology. Thus, MACE provides an opportunity for utilizing FFPE samples stored in histological archives. This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3' massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of fresh tissue and describes transcriptome profiling of formalin-fixed paraffin-embedded (FFPE) archival human samples by MACE. To compare MACE to standard RNA-Seq on fresh tissue, four healthy conjunctiva from four subjects were collected during vitreoretinal surgery, halved and immediately transferred to RNA lysis buffer without prior fixation and then processed for either standard RNA-Seq or MACE RNA-Seq analysis. To assess the impact of FFPE preparation on MACE, a third part was fixed in formalin and processed for paraffin embedding, and its transcriptional profile was compared with the unfixed specimens analyzed by MACE. To investigate the impact of FFPE storage time on MACE results, 24 FFPE-treated conjunctival samples from 24 patients were analyzed as well. Nineteen thousand six hundred fifty-nine transcribed genes were detected by both MACE and standard RNA-Seq on fresh tissue, while 3251 and 2213 transcripts were identified explicitly by MACE or RNA-Seq, respectively. Standard RNA-Seq tended to yield longer detected transcripts more often than MACE technology despite normalization, indicating that the MACE technology is less susceptible to a length bias. FFPE processing revealed negligible effects on MACE sequencing results. Several quality-control measurements showed that long-term storage in paraffin did not decrease the diversity of MACE libraries. We noted a nonlinear relation between storage time and the number of raw reads with an accelerated decrease within the first 1000 days in paraffin, while the numbers remained relatively stable in older samples. Interestingly, the number of transcribed genes detected was independent on FFPE storage time. RNA of sufficient quality and quantity can be extracted from FFPE samples to obtain comprehensive transcriptome profiling using MACE technology. We thus present MACE as a novel opportunity for utilizing FFPE samples stored in histological archives.This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3' massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of fresh tissue and describes transcriptome profiling of formalin-fixed paraffin-embedded (FFPE) archival human samples by MACE. To compare MACE to standard RNA-Seq on fresh tissue, four healthy conjunctiva from four subjects were collected during vitreoretinal surgery, halved and immediately transferred to RNA lysis buffer without prior fixation and then processed for either standard RNA-Seq or MACE RNA-Seq analysis. To assess the impact of FFPE preparation on MACE, a third part was fixed in formalin and processed for paraffin embedding, and its transcriptional profile was compared with the unfixed specimens analyzed by MACE. To investigate the impact of FFPE storage time on MACE results, 24 FFPE-treated conjunctival samples from 24 patients were analyzed as well. Nineteen thousand six hundred fifty-nine transcribed genes were detected by both MACE and standard RNA-Seq on fresh tissue, while 3251 and 2213 transcripts were identified explicitly by MACE or RNA-Seq, respectively. Standard RNA-Seq tended to yield longer detected transcripts more often than MACE technology despite normalization, indicating that the MACE technology is less susceptible to a length bias. FFPE processing revealed negligible effects on MACE sequencing results. Several quality-control measurements showed that long-term storage in paraffin did not decrease the diversity of MACE libraries. We noted a nonlinear relation between storage time and the number of raw reads with an accelerated decrease within the first 1000 days in paraffin, while the numbers remained relatively stable in older samples. Interestingly, the number of transcribed genes detected was independent on FFPE storage time. RNA of sufficient quality and quantity can be extracted from FFPE samples to obtain comprehensive transcriptome profiling using MACE technology. We thus present MACE as a novel opportunity for utilizing FFPE samples stored in histological archives. This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3′ massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of fresh tissue and describes transcriptome profiling of formalin-fixed paraffin-embedded (FFPE) archival human samples by MACE. To compare MACE to standard RNA-Seq on fresh tissue, four healthy conjunctiva from four subjects were collected during vitreoretinal surgery, halved and immediately transferred to RNA lysis buffer without prior fixation and then processed for either standard RNA-Seq or MACE RNA-Seq analysis. To assess the impact of FFPE preparation on MACE, a third part was fixed in formalin and processed for paraffin embedding, and its transcriptional profile was compared with the unfixed specimens analyzed by MACE. To investigate the impact of FFPE storage time on MACE results, 24 FFPE-treated conjunctival samples from 24 patients were analyzed as well. Nineteen thousand six hundred fifty-nine transcribed genes were detected by both MACE and standard RNA-Seq on fresh tissue, while 3251 and 2213 transcripts were identified explicitly by MACE or RNA-Seq, respectively. Standard RNA-Seq tended to yield longer detected transcripts more often than MACE technology despite normalization, indicating that the MACE technology is less susceptible to a length bias. FFPE processing revealed negligible effects on MACE sequencing results. Several quality-control measurements showed that long-term storage in paraffin did not decrease the diversity of MACE libraries. We noted a nonlinear relation between storage time and the number of raw reads with an accelerated decrease within the first 1000 days in paraffin, while the numbers remained relatively stable in older samples. Interestingly, the number of transcribed genes detected was independent on FFPE storage time. RNA of sufficient quality and quantity can be extracted from FFPE samples to obtain comprehensive transcriptome profiling using MACE technology. We thus present MACE as a novel opportunity for utilizing FFPE samples stored in histological archives.RNA of sufficient quality and quantity can be extracted from formalin-fixed paraffin-embedded (FFPE) samples to obtain comprehensive transcriptome profiling using the 3′ massive analysis of c-DNA ends (MACE) RNA-sequencing technology. Thus, MACE provides an opportunity for utilizing FFPE samples stored in histological archives. |
Author | Böhringer, Daniel Mittelviefhaus, Hans Agostini, Hansjürgen Boneva, Stefaniya Schlunck, Günther Wolf, Julian Schlecht, Anja Auw-Haedrich, Claudia Lange, Clemens Reinhard, Thomas |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32467590$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1016/j.eururo.2014.07.045 10.1093/nar/gky379 10.1371/journal.pone.0001261 10.1371/journal.pone.0127353 10.1186/1745-6150-4-14 10.1038/s41433-018-0172-6 10.1371/journal.pone.0098187 10.1158/0008-5472.CAN-14-1607 10.1186/1471-2105-12-35 10.1038/nature12222 10.1093/bioinformatics/bts635 10.1371/journal.pbio.3000481 10.1186/s12943-015-0358-5 10.1038/labinvest.3700529 10.1038/nrclinonc.2017.71 10.1093/bioinformatics/btt656 10.1093/toxsci/kfw161 10.1016/j.gdata.2016.11.002 10.1097/PDM.0b013e3181857e92 10.1016/j.jprot.2015.10.009 10.1016/j.fsigen.2014.11.013 10.1371/journal.pone.0081925 10.1016/j.ccell.2017.12.004 10.1371/journal.pone.0170632 10.1093/nar/27.22.4436 10.1038/nmeth.f.376 10.1007/978-3-319-24277-4 10.1371/journal.pone.0040092 10.1186/1471-2164-15-1087 10.1371/journal.pone.0141910 10.1093/nar/gkx1098 10.1016/j.ophtha.2012.03.037 10.1101/002832 |
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References | Norton, Sun, Asmann, Serie, Necela, Bhagwate (bib30) 2013; 8 von Ahlfen, Missel, Bendrat, Schlumpberger (bib32) 2007; 2 Masuda, Ohnishi, Kawamoto, Monden, Okubo (bib8) 1999; 27 Carrick, Mehaffey, Sachs, Altekruse, Camalier, Chuaqui (bib33) 2015; 10 Tandonnet, Torres (bib10) 2017; 11 Mandelboum, Manber, Elroy-Stein, Elkon (bib24) 2019; 17 Penland, Keku, Torrice, He, Krishnamurthy, Hoadley (bib34) 2007; 87 Zerbino, Achuthan, Akanni, Amode, Barrell, Bhai (bib20) 2018; 46 Wickham (bib21) 2016 Esteve-Codina, Arpi, Martinez-García, Pineda, Mallo, Gut (bib7) 2017; 12 Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. bioRxiv. 2014. Liu, Noon, Aguiar Cabeza, Shen, Kuk, Ilczynski (bib26) 2014; 66 Creighton, Morgan, Gunaratne, Wheeler, Gibbs, Gordon Robertson (bib1) 2013; 499 Sinicropi, Qu, Collin, Crager, Liu, Pelham (bib25) 2012; 7 Botling, Edlund, Segersten, Tahmasebpoor, Engström, Sundström (bib31) 2009; 18 Moll, Ante, Seitz, Reda (bib11) 2014; 11 Paul, Chaturvedi, Selymesi, Ghatak, Mesihovic, Scharf (bib13) 2016; 131 Zajac, Amendt, Horres, Verhoff, Zehner (bib14) 2015; 15 Lange, Lehnert, Boneva, Zhang, Ludwig, Boeker (bib27) 2018; 32 Sabari, Lok, Laird, Poirier, Rudin (bib4) 2017; 14 Hester, Bhat, Chorley, Carswell, Jones, Wehmas (bib6) 2016; 154 Dobin, Davis, Schlesinger, Drenkow, Zaleski, Jha (bib17) 2013; 29 Müller, Raulefs, Bruns, Afonso-Grunz, Plötner, Thermann (bib3) 2015; 14 Oshlack, Wakefield (bib9) 2009; 4 Chen, Boutros (bib22) 2011; 12 . Afgan, Baker, Batut, van den Beek, Bouvier, Čech (bib15) 2018; 46 Mazzocca, Dituri, De Santis, Filannino, Lopane, Betz (bib2) 2015; 75 Liao, Smyth, Shi (bib18) 2014; 30 Lange, Tisch-Rottensteiner, Böhringer, Martin, Schwartzkopff, Auw-Haedrich (bib12) 2012; 119 Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010. Hedegaard, Thorsen, Lund, Hein, Hamilton-Dutoit, Vang (bib28) 2014; 9 Li, Conley, Zhang, Kim (bib29) 2014; 15 Zhao, Xi, Zhang (bib23) 2015; 10 Yaeger, Chatila, Lipsyc, Hechtman, Cercek, Sanchez-Vega (bib5) 2018; 33 Mandelboum, Manber, Elroy-Stein, Elkon (CR24) 2019; 17 Li, Conley, Zhang, Kim (CR29) 2014; 15 Hester, Bhat, Chorley, Carswell, Jones, Wehmas (CR6) 2016; 154 Sabari, Lok, Laird, Poirier, Rudin (CR4) 2017; 14 CR19 Liao, Smyth, Shi (CR18) 2014; 30 CR16 Afgan, Baker, Batut, van den Beek, Bouvier, Čech (CR15) 2018; 46 Carrick, Mehaffey, Sachs, Altekruse, Camalier, Chuaqui (CR33) 2015; 10 Paul, Chaturvedi, Selymesi, Ghatak, Mesihovic, Scharf (CR13) 2016; 131 Chen, Boutros (CR22) 2011; 12 Mazzocca, Dituri, De Santis, Filannino, Lopane, Betz (CR2) 2015; 75 Müller, Raulefs, Bruns, Afonso-Grunz, Plötner, Thermann (CR3) 2015; 14 Sinicropi, Qu, Collin, Crager, Liu, Pelham (CR25) 2012; 7 Hedegaard, Thorsen, Lund, Hein, Hamilton-Dutoit, Vang (CR28) 2014; 9 Moll, Ante, Seitz, Reda (CR11) 2014; 11 Zerbino, Achuthan, Akanni, Amode, Barrell, Bhai (CR20) 2018; 46 Botling, Edlund, Segersten, Tahmasebpoor, Engström, Sundström (CR31) 2009; 18 Norton, Sun, Asmann, Serie, Necela, Bhagwate (CR30) 2013; 8 Penland, Keku, Torrice, He, Krishnamurthy, Hoadley (CR34) 2007; 87 Wickham (CR21) 2016 Dobin, Davis, Schlesinger, Drenkow, Zaleski, Jha (CR17) 2013; 29 Creighton, Morgan, Gunaratne, Wheeler, Gibbs, Gordon Robertson (CR1) 2013; 499 Lange, Tisch-Rottensteiner, Böhringer, Martin, Schwartzkopff, Auw-Haedrich (CR12) 2012; 119 Lange, Lehnert, Boneva, Zhang, Ludwig, Boeker (CR27) 2018; 32 Oshlack, Wakefield (CR9) 2009; 4 Esteve-Codina, Arpi, Martinez-García, Pineda, Mallo, Gut (CR7) 2017; 12 Yaeger, Chatila, Lipsyc, Hechtman, Cercek, Sanchez-Vega (CR5) 2018; 33 Zhao, Xi, Zhang (CR23) 2015; 10 von Ahlfen, Missel, Bendrat, Schlumpberger (CR32) 2007; 2 Masuda, Ohnishi, Kawamoto, Monden, Okubo (CR8) 1999; 27 Liu, Noon, Aguiar Cabeza, Shen, Kuk, Ilczynski (CR26) 2014; 66 Tandonnet, Torres (CR10) 2017; 11 Zajac, Amendt, Horres, Verhoff, Zehner (CR14) 2015; 15 Afgan (10.1038/s41374-020-0446-z_bib15) 2018; 46 Dobin (10.1038/s41374-020-0446-z_bib17) 2013; 29 Liao (10.1038/s41374-020-0446-z_bib18) 2014; 30 Esteve-Codina (10.1038/s41374-020-0446-z_bib7) 2017; 12 Masuda (10.1038/s41374-020-0446-z_bib8) 1999; 27 Oshlack (10.1038/s41374-020-0446-z_bib9) 2009; 4 Wickham (10.1038/s41374-020-0446-z_bib21) 2016 Zajac (10.1038/s41374-020-0446-z_bib14) 2015; 15 Mandelboum (10.1038/s41374-020-0446-z_bib24) 2019; 17 Zerbino (10.1038/s41374-020-0446-z_bib20) 2018; 46 Tandonnet (10.1038/s41374-020-0446-z_bib10) 2017; 11 Paul (10.1038/s41374-020-0446-z_bib13) 2016; 131 von Ahlfen (10.1038/s41374-020-0446-z_bib32) 2007; 2 Botling (10.1038/s41374-020-0446-z_bib31) 2009; 18 Yaeger (10.1038/s41374-020-0446-z_bib5) 2018; 33 Zhao (10.1038/s41374-020-0446-z_bib23) 2015; 10 Moll (10.1038/s41374-020-0446-z_bib11) 2014; 11 Hedegaard (10.1038/s41374-020-0446-z_bib28) 2014; 9 Mazzocca (10.1038/s41374-020-0446-z_bib2) 2015; 75 10.1038/s41374-020-0446-z_bib19 Sabari (10.1038/s41374-020-0446-z_bib4) 2017; 14 Hester (10.1038/s41374-020-0446-z_bib6) 2016; 154 10.1038/s41374-020-0446-z_bib16 Chen (10.1038/s41374-020-0446-z_bib22) 2011; 12 Penland (10.1038/s41374-020-0446-z_bib34) 2007; 87 Lange (10.1038/s41374-020-0446-z_bib12) 2012; 119 Müller (10.1038/s41374-020-0446-z_bib3) 2015; 14 Liu (10.1038/s41374-020-0446-z_bib26) 2014; 66 Lange (10.1038/s41374-020-0446-z_bib27) 2018; 32 Li (10.1038/s41374-020-0446-z_bib29) 2014; 15 Carrick (10.1038/s41374-020-0446-z_bib33) 2015; 10 Creighton (10.1038/s41374-020-0446-z_bib1) 2013; 499 Sinicropi (10.1038/s41374-020-0446-z_bib25) 2012; 7 Norton (10.1038/s41374-020-0446-z_bib30) 2013; 8 |
References_xml | – volume: 30 start-page: 923 year: 2014 end-page: 930 ident: bib18 article-title: FeatureCounts: an efficient general purpose program for assigning sequence reads to genomic features publication-title: Bioinformatics – volume: 7 start-page: e40092 year: 2012 ident: bib25 article-title: Whole transcriptome RNA-Seq analysis of breast cancer recurrence risk using formalin-fixed paraffin-embedded tumor tissue publication-title: PLoS ONE – volume: 499 start-page: 43 year: 2013 end-page: 49 ident: bib1 article-title: Comprehensive molecular characterization of clear cell renal cell carcinoma publication-title: Nature – volume: 154 start-page: 202 year: 2016 end-page: 213 ident: bib6 article-title: Editor's highlight: dose–response analysis of RNA-Seq profiles in archival formalin-fixed paraffin-embedded samples publication-title: Toxicol Sci – volume: 27 start-page: 4436 year: 1999 end-page: 4443 ident: bib8 article-title: Analysis of chemical modification of RNA from formalin-fixed samples and optimization of molecular biology applications for such samples publication-title: Nucleic Acids Res – volume: 87 start-page: 383 year: 2007 end-page: 391 ident: bib34 article-title: RNA expression analysis of formalin-fixed paraffin-embedded tumors publication-title: Lab Investig – volume: 14 year: 2015 ident: bib3 article-title: Next-generation sequencing reveals novel differentially regulated mRNAs lncRNAs miRNAs sdRNAs and a piRNA in pancreatic cancer publication-title: Mol Cancer – volume: 33 start-page: 125 year: 2018 ident: bib5 article-title: Clinical sequencing defines the genomic landscape of metastatic colorectal cancer publication-title: Cancer Cell – volume: 11 start-page: 9 year: 2017 end-page: 16 ident: bib10 article-title: Traditional versus 3′ RNA-seq in a non-model species publication-title: Genom Data – volume: 4 year: 2009 ident: bib9 article-title: Transcript length bias in RNA-seq data confounds systems biology publication-title: Biol Direct – year: 2016 ident: bib21 publication-title: ggplot2: elegant graphics for data analysis – volume: 29 start-page: 15 year: 2013 end-page: 21 ident: bib17 article-title: STAR: ultrafast universal RNA-seq aligner publication-title: Bioinformatics – volume: 15 start-page: 137 year: 2015 end-page: 146 ident: bib14 article-title: De novo transcriptome analysis and highly sensitive digital gene expression profiling of Calliphora vicina Diptera: Calliphoridae pupae using MACE Massive Analysis of cDNA Ends publication-title: Forensic Sci Int Genet – volume: 32 start-page: 1772 year: 2018 end-page: 1782 ident: bib27 article-title: Increased expression of hypoxia-inducible factor-1 alpha and its impact on transcriptional changes and prognosis in malignant tumours of the ocular adnexa publication-title: Eye – volume: 15 year: 2014 ident: bib29 article-title: Whole-transcriptome profiling of formalin-fixed paraffin-embedded renal cell carcinoma by RNA-seq publication-title: BMC Genom – volume: 2 start-page: e1261 year: 2007 ident: bib32 article-title: Determinants of RNA Quality from FFPE Samples publication-title: PLoS ONE – volume: 11 start-page: i year: 2014 end-page: iii ident: bib11 article-title: QuantSeq 3′ mRNA sequencing for RNA quantification publication-title: Nat Methods – volume: 131 start-page: 48 year: 2016 end-page: 60 ident: bib13 article-title: The membrane proteome of male gametophyte in Solanum lycopersicum publication-title: J Proteom – volume: 18 start-page: 44 year: 2009 end-page: 52 ident: bib31 article-title: Impact of thawing on RNA integrity and gene expression analysis in fresh frozen tissue publication-title: Diagn Mol Pathol – volume: 66 start-page: 982 year: 2014 end-page: 986 ident: bib26 article-title: Next-generation RNA sequencing of archival formalin-fixed paraffin-embedded urothelial bladder cancer publication-title: Eur Urol – volume: 75 start-page: 532 year: 2015 end-page: 543 ident: bib2 article-title: Lysophosphatidic acid receptor LPAR6 supports the tumorigenicity of hepatocellular carcinoma publication-title: Cancer Res – volume: 14 start-page: 549 year: 2017 end-page: 561 ident: bib4 article-title: Unravelling the biology of SCLC: implications for therapy publication-title: Nat Rev Clin Oncol – volume: 17 start-page: e3000481 year: 2019 ident: bib24 article-title: Recurrent functional misinterpretation of RNA-seq data caused by sample-specific gene length bias publication-title: PLoS Biol – volume: 12 start-page: e0170632 year: 2017 ident: bib7 article-title: A comparison of RNA-Seq results from paired formalin-fixed paraffin-embedded and fresh-frozen glioblastoma tissue samples publication-title: PLOS ONE – volume: 12 year: 2011 ident: bib22 article-title: VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R publication-title: BMC Bioinform – volume: 46 start-page: D754 year: 2018 end-page: D761 ident: bib20 article-title: Ensembl 2018 publication-title: Nucleic Acids Res – volume: 10 start-page: e0127353 year: 2015 ident: bib33 article-title: Robustness of next generation sequencing on older formalin-fixed paraffin-embedded tissue publication-title: PLOS ONE – volume: 8 start-page: e81925 year: 2013 ident: bib30 article-title: Gene expression single nucleotide variant and fusion transcript discovery in archival material from breast tumors publication-title: PLoS ONE – reference: . – volume: 119 start-page: 1924 year: 2012 end-page: 1929 ident: bib12 article-title: Enhanced TKTL1 expression in malignant tumors of the ocular adnexa predicts clinical outcome publication-title: Ophthalmology – volume: 10 start-page: e0141910 year: 2015 ident: bib23 article-title: Union exon based approach for RNA-Seq gene quantification: to be or not to be? publication-title: PLOS ONE – reference: Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. bioRxiv. 2014. – reference: Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010. – volume: 46 start-page: W537 year: 2018 end-page: W544 ident: bib15 article-title: The Galaxy platform for accessible reproducible and collaborative biomedical analyses: 2018; update publication-title: Nucleic Acids Res – volume: 9 start-page: e98187 year: 2014 ident: bib28 article-title: Next-generation sequencing of RNA and DNA isolated from paired fresh-frozen and formalin-fixed paraffin-embedded samples of human cancer and normal tissue publication-title: PLoS ONE – volume: 66 start-page: 982 year: 2014 end-page: 6 ident: CR26 article-title: Next-generation RNA sequencing of archival formalin-fixed paraffin-embedded urothelial bladder cancer publication-title: Eur Urol doi: 10.1016/j.eururo.2014.07.045 – volume: 46 start-page: W537 year: 2018 end-page: 44 ident: CR15 article-title: The Galaxy platform for accessible reproducible and collaborative biomedical analyses: 2018; update publication-title: Nucleic Acids Res doi: 10.1093/nar/gky379 – volume: 2 start-page: e1261 year: 2007 ident: CR32 article-title: Determinants of RNA Quality from FFPE Samples publication-title: PLoS ONE doi: 10.1371/journal.pone.0001261 – volume: 10 start-page: e0127353 year: 2015 ident: CR33 article-title: Robustness of next generation sequencing on older formalin-fixed paraffin-embedded tissue publication-title: PLOS ONE doi: 10.1371/journal.pone.0127353 – volume: 4 year: 2009 ident: CR9 article-title: Transcript length bias in RNA-seq data confounds systems biology publication-title: Biol Direct doi: 10.1186/1745-6150-4-14 – volume: 32 start-page: 1772 year: 2018 end-page: 82 ident: CR27 article-title: Increased expression of hypoxia-inducible factor-1 alpha and its impact on transcriptional changes and prognosis in malignant tumours of the ocular adnexa publication-title: Eye doi: 10.1038/s41433-018-0172-6 – ident: CR16 – volume: 9 start-page: e98187 year: 2014 ident: CR28 article-title: Next-generation sequencing of RNA and DNA isolated from paired fresh-frozen and formalin-fixed paraffin-embedded samples of human cancer and normal tissue publication-title: PLoS ONE doi: 10.1371/journal.pone.0098187 – volume: 75 start-page: 532 year: 2015 end-page: 43 ident: CR2 article-title: Lysophosphatidic acid receptor LPAR6 supports the tumorigenicity of hepatocellular carcinoma publication-title: Cancer Res doi: 10.1158/0008-5472.CAN-14-1607 – volume: 12 year: 2011 ident: CR22 article-title: VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R publication-title: BMC Bioinform doi: 10.1186/1471-2105-12-35 – volume: 499 start-page: 43 year: 2013 end-page: 9 ident: CR1 article-title: Comprehensive molecular characterization of clear cell renal cell carcinoma publication-title: Nature doi: 10.1038/nature12222 – volume: 29 start-page: 15 year: 2013 end-page: 21 ident: CR17 article-title: STAR: ultrafast universal RNA-seq aligner publication-title: Bioinformatics doi: 10.1093/bioinformatics/bts635 – volume: 17 start-page: e3000481 year: 2019 ident: CR24 article-title: Recurrent functional misinterpretation of RNA-seq data caused by sample-specific gene length bias publication-title: PLoS Biol doi: 10.1371/journal.pbio.3000481 – volume: 14 year: 2015 ident: CR3 article-title: Next-generation sequencing reveals novel differentially regulated mRNAs lncRNAs miRNAs sdRNAs and a piRNA in pancreatic cancer publication-title: Mol Cancer doi: 10.1186/s12943-015-0358-5 – volume: 87 start-page: 383 year: 2007 end-page: 91 ident: CR34 article-title: RNA expression analysis of formalin-fixed paraffin-embedded tumors publication-title: Lab Investig doi: 10.1038/labinvest.3700529 – ident: CR19 – volume: 14 start-page: 549 year: 2017 end-page: 61 ident: CR4 article-title: Unravelling the biology of SCLC: implications for therapy publication-title: Nat Rev Clin Oncol doi: 10.1038/nrclinonc.2017.71 – volume: 30 start-page: 923 year: 2014 end-page: 30 ident: CR18 article-title: FeatureCounts: an efficient general purpose program for assigning sequence reads to genomic features publication-title: Bioinformatics doi: 10.1093/bioinformatics/btt656 – volume: 154 start-page: 202 year: 2016 end-page: 13 ident: CR6 article-title: Editor’s highlight: dose–response analysis of RNA-Seq profiles in archival formalin-fixed paraffin-embedded samples publication-title: Toxicol Sci doi: 10.1093/toxsci/kfw161 – volume: 11 start-page: 9 year: 2017 end-page: 16 ident: CR10 article-title: Traditional versus 3′ RNA-seq in a non-model species publication-title: Genom Data doi: 10.1016/j.gdata.2016.11.002 – volume: 18 start-page: 44 year: 2009 end-page: 52 ident: CR31 article-title: Impact of thawing on RNA integrity and gene expression analysis in fresh frozen tissue publication-title: Diagn Mol Pathol doi: 10.1097/PDM.0b013e3181857e92 – volume: 131 start-page: 48 year: 2016 end-page: 60 ident: CR13 article-title: The membrane proteome of male gametophyte in Solanum lycopersicum publication-title: J Proteom doi: 10.1016/j.jprot.2015.10.009 – volume: 15 start-page: 137 year: 2015 end-page: 46 ident: CR14 article-title: De novo transcriptome analysis and highly sensitive digital gene expression profiling of Calliphora vicina Diptera: Calliphoridae pupae using MACE Massive Analysis of cDNA Ends publication-title: Forensic Sci Int Genet doi: 10.1016/j.fsigen.2014.11.013 – volume: 8 start-page: e81925 year: 2013 ident: CR30 article-title: Gene expression single nucleotide variant and fusion transcript discovery in archival material from breast tumors publication-title: PLoS ONE doi: 10.1371/journal.pone.0081925 – volume: 33 start-page: 125 year: 2018 end-page: 36.e3 ident: CR5 article-title: Clinical sequencing defines the genomic landscape of metastatic colorectal cancer publication-title: Cancer Cell doi: 10.1016/j.ccell.2017.12.004 – volume: 12 start-page: e0170632 year: 2017 ident: CR7 article-title: A comparison of RNA-Seq results from paired formalin-fixed paraffin-embedded and fresh-frozen glioblastoma tissue samples publication-title: PLOS ONE doi: 10.1371/journal.pone.0170632 – volume: 27 start-page: 4436 year: 1999 end-page: 43 ident: CR8 article-title: Analysis of chemical modification of RNA from formalin-fixed samples and optimization of molecular biology applications for such samples publication-title: Nucleic Acids Res doi: 10.1093/nar/27.22.4436 – volume: 11 start-page: i year: 2014 end-page: iii ident: CR11 article-title: QuantSeq 3′ mRNA sequencing for RNA quantification publication-title: Nat Methods doi: 10.1038/nmeth.f.376 – year: 2016 ident: CR21 publication-title: ggplot2: elegant graphics for data analysis doi: 10.1007/978-3-319-24277-4 – volume: 7 start-page: e40092 year: 2012 ident: CR25 article-title: Whole transcriptome RNA-Seq analysis of breast cancer recurrence risk using formalin-fixed paraffin-embedded tumor tissue publication-title: PLoS ONE doi: 10.1371/journal.pone.0040092 – volume: 15 year: 2014 ident: CR29 article-title: Whole-transcriptome profiling of formalin-fixed paraffin-embedded renal cell carcinoma by RNA-seq publication-title: BMC Genom doi: 10.1186/1471-2164-15-1087 – volume: 10 start-page: e0141910 year: 2015 ident: CR23 article-title: Union exon based approach for RNA-Seq gene quantification: to be or not to be? publication-title: PLOS ONE doi: 10.1371/journal.pone.0141910 – volume: 46 start-page: D754 year: 2018 end-page: 61 ident: CR20 article-title: Ensembl 2018 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkx1098 – volume: 119 start-page: 1924 year: 2012 end-page: 9 ident: CR12 article-title: Enhanced TKTL1 expression in malignant tumors of the ocular adnexa predicts clinical outcome publication-title: Ophthalmology doi: 10.1016/j.ophtha.2012.03.037 – volume: 11 start-page: 9 year: 2017 ident: 10.1038/s41374-020-0446-z_bib10 article-title: Traditional versus 3′ RNA-seq in a non-model species publication-title: Genom Data doi: 10.1016/j.gdata.2016.11.002 – volume: 119 start-page: 1924 year: 2012 ident: 10.1038/s41374-020-0446-z_bib12 article-title: Enhanced TKTL1 expression in malignant tumors of the ocular adnexa predicts clinical outcome publication-title: Ophthalmology doi: 10.1016/j.ophtha.2012.03.037 – volume: 4 year: 2009 ident: 10.1038/s41374-020-0446-z_bib9 article-title: Transcript length bias in RNA-seq data confounds systems biology publication-title: Biol Direct doi: 10.1186/1745-6150-4-14 – volume: 11 start-page: i year: 2014 ident: 10.1038/s41374-020-0446-z_bib11 article-title: QuantSeq 3′ mRNA sequencing for RNA quantification publication-title: Nat Methods doi: 10.1038/nmeth.f.376 – volume: 12 year: 2011 ident: 10.1038/s41374-020-0446-z_bib22 article-title: VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R publication-title: BMC Bioinform doi: 10.1186/1471-2105-12-35 – volume: 66 start-page: 982 year: 2014 ident: 10.1038/s41374-020-0446-z_bib26 article-title: Next-generation RNA sequencing of archival formalin-fixed paraffin-embedded urothelial bladder cancer publication-title: Eur Urol doi: 10.1016/j.eururo.2014.07.045 – volume: 18 start-page: 44 year: 2009 ident: 10.1038/s41374-020-0446-z_bib31 article-title: Impact of thawing on RNA integrity and gene expression analysis in fresh frozen tissue publication-title: Diagn Mol Pathol doi: 10.1097/PDM.0b013e3181857e92 – volume: 27 start-page: 4436 year: 1999 ident: 10.1038/s41374-020-0446-z_bib8 article-title: Analysis of chemical modification of RNA from formalin-fixed samples and optimization of molecular biology applications for such samples publication-title: Nucleic Acids Res doi: 10.1093/nar/27.22.4436 – ident: 10.1038/s41374-020-0446-z_bib19 doi: 10.1101/002832 – volume: 17 start-page: e3000481 year: 2019 ident: 10.1038/s41374-020-0446-z_bib24 article-title: Recurrent functional misinterpretation of RNA-seq data caused by sample-specific gene length bias publication-title: PLoS Biol doi: 10.1371/journal.pbio.3000481 – volume: 32 start-page: 1772 year: 2018 ident: 10.1038/s41374-020-0446-z_bib27 article-title: Increased expression of hypoxia-inducible factor-1 alpha and its impact on transcriptional changes and prognosis in malignant tumours of the ocular adnexa publication-title: Eye doi: 10.1038/s41433-018-0172-6 – volume: 29 start-page: 15 year: 2013 ident: 10.1038/s41374-020-0446-z_bib17 article-title: STAR: ultrafast universal RNA-seq aligner publication-title: Bioinformatics doi: 10.1093/bioinformatics/bts635 – volume: 10 start-page: e0127353 year: 2015 ident: 10.1038/s41374-020-0446-z_bib33 article-title: Robustness of next generation sequencing on older formalin-fixed paraffin-embedded tissue publication-title: PLOS ONE doi: 10.1371/journal.pone.0127353 – volume: 46 start-page: W537 year: 2018 ident: 10.1038/s41374-020-0446-z_bib15 article-title: The Galaxy platform for accessible reproducible and collaborative biomedical analyses: 2018; update publication-title: Nucleic Acids Res doi: 10.1093/nar/gky379 – volume: 33 start-page: 125 year: 2018 ident: 10.1038/s41374-020-0446-z_bib5 article-title: Clinical sequencing defines the genomic landscape of metastatic colorectal cancer publication-title: Cancer Cell doi: 10.1016/j.ccell.2017.12.004 – volume: 9 start-page: e98187 year: 2014 ident: 10.1038/s41374-020-0446-z_bib28 article-title: Next-generation sequencing of RNA and DNA isolated from paired fresh-frozen and formalin-fixed paraffin-embedded samples of human cancer and normal tissue publication-title: PLoS ONE doi: 10.1371/journal.pone.0098187 – volume: 8 start-page: e81925 year: 2013 ident: 10.1038/s41374-020-0446-z_bib30 article-title: Gene expression single nucleotide variant and fusion transcript discovery in archival material from breast tumors publication-title: PLoS ONE doi: 10.1371/journal.pone.0081925 – volume: 131 start-page: 48 year: 2016 ident: 10.1038/s41374-020-0446-z_bib13 article-title: The membrane proteome of male gametophyte in Solanum lycopersicum publication-title: J Proteom doi: 10.1016/j.jprot.2015.10.009 – volume: 15 year: 2014 ident: 10.1038/s41374-020-0446-z_bib29 article-title: Whole-transcriptome profiling of formalin-fixed paraffin-embedded renal cell carcinoma by RNA-seq publication-title: BMC Genom doi: 10.1186/1471-2164-15-1087 – volume: 14 start-page: 549 year: 2017 ident: 10.1038/s41374-020-0446-z_bib4 article-title: Unravelling the biology of SCLC: implications for therapy publication-title: Nat Rev Clin Oncol doi: 10.1038/nrclinonc.2017.71 – ident: 10.1038/s41374-020-0446-z_bib16 – volume: 499 start-page: 43 year: 2013 ident: 10.1038/s41374-020-0446-z_bib1 article-title: Comprehensive molecular characterization of clear cell renal cell carcinoma publication-title: Nature doi: 10.1038/nature12222 – year: 2016 ident: 10.1038/s41374-020-0446-z_bib21 – volume: 154 start-page: 202 year: 2016 ident: 10.1038/s41374-020-0446-z_bib6 article-title: Editor's highlight: dose–response analysis of RNA-Seq profiles in archival formalin-fixed paraffin-embedded samples publication-title: Toxicol Sci doi: 10.1093/toxsci/kfw161 – volume: 10 start-page: e0141910 year: 2015 ident: 10.1038/s41374-020-0446-z_bib23 article-title: Union exon based approach for RNA-Seq gene quantification: to be or not to be? publication-title: PLOS ONE doi: 10.1371/journal.pone.0141910 – volume: 30 start-page: 923 year: 2014 ident: 10.1038/s41374-020-0446-z_bib18 article-title: FeatureCounts: an efficient general purpose program for assigning sequence reads to genomic features publication-title: Bioinformatics doi: 10.1093/bioinformatics/btt656 – volume: 75 start-page: 532 year: 2015 ident: 10.1038/s41374-020-0446-z_bib2 article-title: Lysophosphatidic acid receptor LPAR6 supports the tumorigenicity of hepatocellular carcinoma publication-title: Cancer Res doi: 10.1158/0008-5472.CAN-14-1607 – volume: 2 start-page: e1261 year: 2007 ident: 10.1038/s41374-020-0446-z_bib32 article-title: Determinants of RNA Quality from FFPE Samples publication-title: PLoS ONE doi: 10.1371/journal.pone.0001261 – volume: 14 year: 2015 ident: 10.1038/s41374-020-0446-z_bib3 article-title: Next-generation sequencing reveals novel differentially regulated mRNAs lncRNAs miRNAs sdRNAs and a piRNA in pancreatic cancer publication-title: Mol Cancer – volume: 12 start-page: e0170632 year: 2017 ident: 10.1038/s41374-020-0446-z_bib7 article-title: A comparison of RNA-Seq results from paired formalin-fixed paraffin-embedded and fresh-frozen glioblastoma tissue samples publication-title: PLOS ONE doi: 10.1371/journal.pone.0170632 – volume: 7 start-page: e40092 year: 2012 ident: 10.1038/s41374-020-0446-z_bib25 article-title: Whole transcriptome RNA-Seq analysis of breast cancer recurrence risk using formalin-fixed paraffin-embedded tumor tissue publication-title: PLoS ONE doi: 10.1371/journal.pone.0040092 – volume: 15 start-page: 137 year: 2015 ident: 10.1038/s41374-020-0446-z_bib14 article-title: De novo transcriptome analysis and highly sensitive digital gene expression profiling of Calliphora vicina Diptera: Calliphoridae pupae using MACE Massive Analysis of cDNA Ends publication-title: Forensic Sci Int Genet doi: 10.1016/j.fsigen.2014.11.013 – volume: 46 start-page: D754 year: 2018 ident: 10.1038/s41374-020-0446-z_bib20 article-title: Ensembl 2018 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkx1098 – volume: 87 start-page: 383 year: 2007 ident: 10.1038/s41374-020-0446-z_bib34 article-title: RNA expression analysis of formalin-fixed paraffin-embedded tumors publication-title: Lab Investig doi: 10.1038/labinvest.3700529 |
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Snippet | This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3′ massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of... This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3' massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of... |
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SubjectTerms | 38/91 631/337/2019 692/308/2778 Archives & records Conjunctiva Deoxyribonucleic acid DNA DNA sequencing DNA, Complementary - genetics Embedding Formaldehyde Gene expression Gene Expression Profiling Genes Human tissues Humans Laboratory Medicine Lysis Medicine Medicine & Public Health Oligonucleotide Array Sequence Analysis Paraffin Paraffin Embedding Paraffins Pathology Ribonucleic acid RNA RNA-Seq - methods Storage Surgery Technology Time Factors Tissue analysis Tissue Fixation Tissue Preservation Tissues Transcription Transcriptomes |
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Title | 3′ MACE RNA-sequencing allows for transcriptome profiling in human tissue samples after long-term storage |
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