@article{
 title = {Transcriptional profiling of cells sorted by RNA abundance},
 type = {article},
 year = {2014},
 identifiers = {[object Object]},
 pages = {549-551},
 volume = {11 VN - r},
 websites = {/Users/yurikoharigaya/Documents/ReadCube Media/Untitled Article (2015-07-11T08-05-25Z).pdf%5Cnhttp://dx.doi.org/10.1038/nmeth.2910},
 id = {0cf4d46f-ff2a-31f8-8ec1-5141d63e970c},
 created = {2016-05-15T11:13:04.000Z},
 file_attached = {true},
 profile_id = {397d75f1-832d-36e0-bbe6-b6878f88c402},
 group_id = {cec5aa9e-65e1-3c21-bc44-78fa6504020e},
 last_modified = {2017-08-30T12:30:46.511Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Klemm2014a},
 folder_uuids = {f0b4a658-963e-425b-93e7-e6092bed8a45},
 private_publication = {false},
 abstract = {We have developed a quantitative technique for sorting cells on the basis of endogenous RNA abundance, with a molecular resolution of 10-20 transcripts. We demonstrate efficient and unbiased RNA extraction from transcriptionally sorted cells and report a high-fidelity transcriptome measurement of mouse induced pluripotent stem cells (iPSCs) isolated from a heterogeneous reprogramming culture. This method is broadly applicable to profiling transcriptionally distinct cellular states without requiring antibodies or transgenic fluorescent proteins.},
 bibtype = {article},
 author = {Klemm, Sandy and Semrau, Stefan and Wiebrands, Kay and Mooijman, Dylan and Faddah, Dina A and Jaenisch, Rudolf and van Oudenaarden, Alexander},
 journal = {Nature methods},
 number = {5}
}

{"_id":"eFWEgdk4GyyMbrxNp","bibbaseid":"klemm-semrau-wiebrands-mooijman-faddah-jaenisch-vanoudenaarden-transcriptionalprofilingofcellssortedbyrnaabundance-2014","downloads":0,"creationDate":"2018-02-28T11:17:24.856Z","title":"Transcriptional profiling of cells sorted by RNA abundance","author_short":["Klemm, S.","Semrau, S.","Wiebrands, K.","Mooijman, D.","Faddah, D., A.","Jaenisch, R.","van Oudenaarden, A."],"year":2014,"bibtype":"article","biburl":null,"bibdata":{"title":"Transcriptional profiling of cells sorted by RNA abundance","type":"article","year":"2014","identifiers":"[object Object]","pages":"549-551","volume":"11 VN - r","websites":"/Users/yurikoharigaya/Documents/ReadCube Media/Untitled Article (2015-07-11T08-05-25Z).pdf%5Cnhttp://dx.doi.org/10.1038/nmeth.2910","id":"0cf4d46f-ff2a-31f8-8ec1-5141d63e970c","created":"2016-05-15T11:13:04.000Z","file_attached":"true","profile_id":"397d75f1-832d-36e0-bbe6-b6878f88c402","group_id":"cec5aa9e-65e1-3c21-bc44-78fa6504020e","last_modified":"2017-08-30T12:30:46.511Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"Klemm2014a","folder_uuids":"f0b4a658-963e-425b-93e7-e6092bed8a45","private_publication":false,"abstract":"We have developed a quantitative technique for sorting cells on the basis of endogenous RNA abundance, with a molecular resolution of 10-20 transcripts. We demonstrate efficient and unbiased RNA extraction from transcriptionally sorted cells and report a high-fidelity transcriptome measurement of mouse induced pluripotent stem cells (iPSCs) isolated from a heterogeneous reprogramming culture. This method is broadly applicable to profiling transcriptionally distinct cellular states without requiring antibodies or transgenic fluorescent proteins.","bibtype":"article","author":"Klemm, Sandy and Semrau, Stefan and Wiebrands, Kay and Mooijman, Dylan and Faddah, Dina A and Jaenisch, Rudolf and van Oudenaarden, Alexander","journal":"Nature methods","number":"5","bibtex":"@article{\n title = {Transcriptional profiling of cells sorted by RNA abundance},\n type = {article},\n year = {2014},\n identifiers = {[object Object]},\n pages = {549-551},\n volume = {11 VN - r},\n websites = {/Users/yurikoharigaya/Documents/ReadCube Media/Untitled Article (2015-07-11T08-05-25Z).pdf%5Cnhttp://dx.doi.org/10.1038/nmeth.2910},\n id = {0cf4d46f-ff2a-31f8-8ec1-5141d63e970c},\n created = {2016-05-15T11:13:04.000Z},\n file_attached = {true},\n profile_id = {397d75f1-832d-36e0-bbe6-b6878f88c402},\n group_id = {cec5aa9e-65e1-3c21-bc44-78fa6504020e},\n last_modified = {2017-08-30T12:30:46.511Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Klemm2014a},\n folder_uuids = {f0b4a658-963e-425b-93e7-e6092bed8a45},\n private_publication = {false},\n abstract = {We have developed a quantitative technique for sorting cells on the basis of endogenous RNA abundance, with a molecular resolution of 10-20 transcripts. We demonstrate efficient and unbiased RNA extraction from transcriptionally sorted cells and report a high-fidelity transcriptome measurement of mouse induced pluripotent stem cells (iPSCs) isolated from a heterogeneous reprogramming culture. This method is broadly applicable to profiling transcriptionally distinct cellular states without requiring antibodies or transgenic fluorescent proteins.},\n bibtype = {article},\n author = {Klemm, Sandy and Semrau, Stefan and Wiebrands, Kay and Mooijman, Dylan and Faddah, Dina A and Jaenisch, Rudolf and van Oudenaarden, Alexander},\n journal = {Nature methods},\n number = {5}\n}","author_short":["Klemm, S.","Semrau, S.","Wiebrands, K.","Mooijman, D.","Faddah, D., A.","Jaenisch, R.","van Oudenaarden, A."],"urls":{"Paper":"http://bibbase.org/service/mendeley/e83b864c-2991-3afd-8f5e-fe4c6400dead/file/5e303394-f2a3-35ef-602c-a39e1b6e5556/2014-Transcriptional_profiling_of_cells_sorted_by_RNA_abundance.pdf.pdf","Website":"/Users/yurikoharigaya/Documents/ReadCube Media/Untitled Article (2015-07-11T08-05-25Z).pdf%5Cnhttp://dx.doi.org/10.1038/nmeth.2910"},"bibbaseid":"klemm-semrau-wiebrands-mooijman-faddah-jaenisch-vanoudenaarden-transcriptionalprofilingofcellssortedbyrnaabundance-2014","role":"author","downloads":0},"search_terms":["transcriptional","profiling","cells","sorted","rna","abundance","klemm","semrau","wiebrands","mooijman","faddah","jaenisch","van oudenaarden"],"keywords":[],"authorIDs":[]}