Engineer at Siemens Corporation, Corporate Technology
Location:
United States
Industry:
Industrial Automation
Work:
Siemens Corporation, Corporate Technology since Nov 1998
Engineer
Siemens Corporate Research 2009 - 2011
Software Engineer
Nanjing University Aug 1987 - May 1992
Instructor in Mathematics Department
Education:
Masters in Applied Mathematics, Nanjing University 1981 - 1984
Master of Arts, Partial Differential Equations
Described are methods for identifying targets in RNA molecules based on differences in RNA secondary structure related to sequence variances between different allelic forms. Also described are methods for identifying or developing small molecules which can be used to modulate a target RNA by creation of protein-small-molecule-RNA complexes, as well as compositions which include such small molecules and methods of using those small molecules and compositions.
Ling X. Shen - Marlboro MA, US Gregory L. Verdine - Lexington MA, US James P. Basilion - Brookline MA, US
International Classification:
C12N 15/11 C12N 15/113 C12N 15/115 C12Q 1/68
US Classification:
514 44A, 514 1, 514 2, 435455, 435 61, 435 78
Abstract:
Described are methods for identifying targets in RNA molecules based on differences in RNA secondary structure related to sequence variances between different allelic forms. Also described are methods for identifying or developing small molecules which can be used to modulate a target RNA by creation of protein-small-molecule-RNA complexes, as well as compositions which include such small molecules and methods of using those small molecules and compositions.
Ling X. Shen - Marlboro MA Gregory L. Verdine - Lexington MA James P. Basilion - Brookline MA
Assignee:
Nuvelo, Inc. - Sunnyvale CA
International Classification:
C12Q 168
US Classification:
435 6, 536 231, 536 243, 536 2431, 536 2432
Abstract:
Methods are described for identifying an RNA target for an allele-specific RNA inhibitor by identifying a sequence variance in an RNA encoded by a gene of interest, and determining whether the secondary structure of the RNA comprising the variance differs from that of an otherwise identical RNA not comprising the variance.
- Menlo Park CA, US Samuel S. Gross - Sunnyvale CA, US Darya Filippova - Sunnyvale CA, US Ling Shen - Redwood City CA, US Oliver Claude Venn - San Francisco CA, US Alexander Weaver Blocker - Mountain View CA, US Nan Zhang - Fremont CA, US Tara Maddala - Sunnyvale CA, US Alex Aravanis - San Mateo CA, US Qinwen Liu - Fremont CA, US Anton Valouev - Palo Alto CA, US Virgil Nicula - Cupertino CA, US
A predictive cancer model generates a cancer prediction for an individual of interest by analyzing values of one or more types of features that are derived from cfDNA obtained from the individual. Specifically, cfDNA from the individual is sequenced to generate sequence reads using one or more physical assays, examples of which include a small variant sequencing assay, whole genome sequencing assay, and methylation sequencing assay. The sequence reads of the physical assays are processed through corresponding computational analyses to generate each of small variant features, whole genome features, and methylation features. The values of features can be provided to a predictive cancer model that generates a cancer prediction. In some embodiments, the values of different types of features can be separately provided into different predictive models. Each separate predictive model can output a score that can serve as input into an overall model that outputs the cancer prediction.
LING X. SHEN - MARLBORO MA, US GREGORY L. VERDINE - LEXINGTON MA, US JAMES P. BASILION - ARLINGTON MA, US
International Classification:
G01N 33/50
US Classification:
435 61
Abstract:
Described are methods for identifying targets in RNA molecules based on differences in RNA secondary structure related to sequence variances between different allelic forms. Also described are methods for identifying or developing small molecules which can be used to modulate a target RNA by creation of protein-small-molecule-RNA complexes, as well as compositions which include such small molecules and methods of using those small molecules and compositions.
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Hsin-ling Shen on Design for Change Taiwan
/ Brief Bio of Hsin-Ling Shen ... Hsin-Ling Shen, born in a poor fami...
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Uploaded:
11 Jul, 2010
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