Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Chun-wah Lin"'
Autor:
Leonard D. Goldstein, Ying-Jiun Jasmine Chen, Jude Dunne, Alain Mir, Hermann Hubschle, Joseph Guillory, Wenlin Yuan, Jingli Zhang, Jeremy Stinson, Bijay Jaiswal, Kanika Bajaj Pahuja, Ishminder Mann, Thomas Schaal, Leo Chan, Sangeetha Anandakrishnan, Chun-wah Lin, Patricio Espinoza, Syed Husain, Harris Shapiro, Karthikeyan Swaminathan, Sherry Wei, Maithreyan Srinivasan, Somasekar Seshagiri, Zora Modrusan
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-10 (2017)
Abstract Background Technological advances have enabled transcriptome characterization of cell types at the single-cell level providing new biological insights. New methods that enable simple yet high-throughput single-cell expression profiling are h
Externí odkaz:
https://doaj.org/article/0f2cc86fd322428794946fd046b7a06a
Autor:
Chun-Wah Lin, Ying-Jiun Jasmine Chen, Sherry Wei, Bijay S. Jaiswal, Harris Shapiro, Ishminder Mann, Hermann Hubschle, Zora Modrusan, Joseph Guillory, Syed Husain, Patricio Espinoza, Leo Lai Chan, Alain Mir, Thomas D. Schaal, Kanika Bajaj Pahuja, Jude Dunne, Leonard D. Goldstein, Jingli Zhang, Wenlin Yuan, Somasekar Seshagiri, Karthikeyan Swaminathan, Maithreyan Srinivasan, Jeremy Stinson, Sangeetha Anandakrishnan
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-10 (2017)
BMC Genomics
BMC Genomics
Background Technological advances have enabled transcriptome characterization of cell types at the single-cell level providing new biological insights. New methods that enable simple yet high-throughput single-cell expression profiling are highly des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::745af0c57aa5d0750077db52d2e87180
https://doi.org/10.1186/s12864-017-3893-1
https://doi.org/10.1186/s12864-017-3893-1
Autor:
Goldstein, Leonard, Ying-Jiun Chen, Dunne, Jude, Mir, Alain, Hubschle, Hermann, Guillory, Joseph, Wenlin Yuan, Jingli Zhang, Stinson, Jeremy, Bijay Jaiswal, Pahuja, Kanika, Ishminder Mann, Schaal, Thomas, Chan, Leo, Sangeetha Anandakrishnan, Chun-Wah Lin, Espinoza, Patricio, Husain, Syed, Shapiro, Harris, Karthikeyan Swaminathan, Wei, Sherry, Maithreyan Srinivasan, Somasekar Seshagiri, Modrusan, Zora
Cell-to-cell variability and comparison of single-cell ensemble versus bulk expression. (a) Scatter plot of per-gene transcript counts for two Ba/F3 cells. (b) Scatter plot of per-gene read counts for two Ba/F3 cells shown in (a). (c) Scatter plot of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e65ed771a6ccf2852e6033c8c04bca6f
Autor:
Goldstein, Leonard, Ying-Jiun Chen, Dunne, Jude, Mir, Alain, Hubschle, Hermann, Guillory, Joseph, Wenlin Yuan, Jingli Zhang, Stinson, Jeremy, Bijay Jaiswal, Pahuja, Kanika, Ishminder Mann, Schaal, Thomas, Chan, Leo, Sangeetha Anandakrishnan, Chun-Wah Lin, Espinoza, Patricio, Husain, Syed, Shapiro, Harris, Karthikeyan Swaminathan, Wei, Sherry, Maithreyan Srinivasan, Somasekar Seshagiri, Modrusan, Zora
Well-to-well variation in the number of reads and detected transcripts for Ba/F3 cells. (a) Number of mapped reads plotted against number of sequenced reads for each well. (b) Number of detected transcripts plotted against number of sequenced reads f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7c568596958c8cef9e0f5cc674ce700
Autor:
Goldstein, Leonard, Ying-Jiun Chen, Dunne, Jude, Mir, Alain, Hubschle, Hermann, Guillory, Joseph, Wenlin Yuan, Jingli Zhang, Stinson, Jeremy, Bijay Jaiswal, Pahuja, Kanika, Ishminder Mann, Schaal, Thomas, Chan, Leo, Sangeetha Anandakrishnan, Chun-Wah Lin, Espinoza, Patricio, Husain, Syed, Shapiro, Harris, Karthikeyan Swaminathan, Wei, Sherry, Maithreyan Srinivasan, Somasekar Seshagiri, Modrusan, Zora
Hierarchical clustering of (a) human and (b) mouse cell lines based on 100 most variable genes. (PDF 1272Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd02fac88395fe89230c0d4ade296dab
Autor:
Goldstein, Leonard, Ying-Jiun Chen, Dunne, Jude, Mir, Alain, Hubschle, Hermann, Guillory, Joseph, Wenlin Yuan, Jingli Zhang, Stinson, Jeremy, Bijay Jaiswal, Pahuja, Kanika, Ishminder Mann, Schaal, Thomas, Chan, Leo, Sangeetha Anandakrishnan, Chun-Wah Lin, Espinoza, Patricio, Husain, Syed, Shapiro, Harris, Karthikeyan Swaminathan, Wei, Sherry, Maithreyan Srinivasan, Somasekar Seshagiri, Modrusan, Zora
Heatmaps illustrating the total number of detected transcripts for each well selected for downstream processing. Data are for three microchips, each with 5184 wells arranged in a 72Â Ă Â 72 square layout. Microchips 72,618 and 72,598 were used for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20b6361824ba3e053f33ad12b715987c
Autor:
Goldstein, Leonard, Ying-Jiun Chen, Dunne, Jude, Mir, Alain, Hubschle, Hermann, Guillory, Joseph, Wenlin Yuan, Jingli Zhang, Stinson, Jeremy, Bijay Jaiswal, Pahuja, Kanika, Ishminder Mann, Schaal, Thomas, Chan, Leo, Sangeetha Anandakrishnan, Chun-Wah Lin, Espinoza, Patricio, Husain, Syed, Shapiro, Harris, Karthikeyan Swaminathan, Wei, Sherry, Maithreyan Srinivasan, Somasekar Seshagiri, Modrusan, Zora
Checkerboard assay. (a) Image of a microchip where the right half contains negative control master mix (NTC wells, n = 2520) and the left half contains lambda DNA master mix master (Positive wells, n = 1024) and negative control master mix (Test well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5466fbf51df77e812b18bc771f5dad92
Autor:
Goldstein, Leonard, Ying-Jiun Chen, Dunne, Jude, Mir, Alain, Hubschle, Hermann, Guillory, Joseph, Wenlin Yuan, Jingli Zhang, Stinson, Jeremy, Bijay Jaiswal, Pahuja, Kanika, Ishminder Mann, Schaal, Thomas, Chan, Leo, Sangeetha Anandakrishnan, Chun-Wah Lin, Espinoza, Patricio, Husain, Syed, Shapiro, Harris, Karthikeyan Swaminathan, Wei, Sherry, Maithreyan Srinivasan, Somasekar Seshagiri, Modrusan, Zora
Percentage of mitochondrial transcripts plotted against total number of detected transcripts for mouse Ba/F3 cells (a), human cell lines (b), mouse cell lines (c), and pancreatic islets (d). Dashed lines indicate the minimum number of detected transc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81092b07ad7890e302280541991a5bdc
Autor:
Goldstein, Leonard, Ying-Jiun Chen, Dunne, Jude, Mir, Alain, Hubschle, Hermann, Guillory, Joseph, Wenlin Yuan, Jingli Zhang, Stinson, Jeremy, Bijay Jaiswal, Pahuja, Kanika, Ishminder Mann, Schaal, Thomas, Chan, Leo, Sangeetha Anandakrishnan, Chun-Wah Lin, Espinoza, Patricio, Husain, Syed, Shapiro, Harris, Karthikeyan Swaminathan, Wei, Sherry, Maithreyan Srinivasan, Somasekar Seshagiri, Modrusan, Zora
Effect of requiring a minimum number of reads per UMI on single-cell purity. Shown are data for the species-mixing experiment when considering UMIs supported by a minimum of 1, 2 or 3 reads. Single-cell purity estimates are shown in each panel. Other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ced9a9f67bb30ee996243565092f4fec
Autor:
Goldstein, Leonard, Ying-Jiun Chen, Dunne, Jude, Mir, Alain, Hubschle, Hermann, Guillory, Joseph, Wenlin Yuan, Jingli Zhang, Stinson, Jeremy, Bijay Jaiswal, Pahuja, Kanika, Ishminder Mann, Schaal, Thomas, Chan, Leo, Sangeetha Anandakrishnan, Chun-Wah Lin, Espinoza, Patricio, Husain, Syed, Shapiro, Harris, Karthikeyan Swaminathan, Wei, Sherry, Maithreyan Srinivasan, Somasekar Seshagiri, Modrusan, Zora
Unsupervised principal component analysis (PCA) for mouse pancreatic islet cells based on the 500 most variable genes. Circles correspond to cells and are colored by (a) microchip (n = 116 for 72574, n = 352 for 72625) and (b) transcript counts of ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb81aa35f82ba7183063583774aad87