A dynamic model of proteome changes reveals new roles for transcript alteration in yeast. - Wikidata - awgldk - TriplyDB

A dynamic model of proteome changes reveals new roles for transcript alteration in yeast.

A dynamic model of proteome changes reveals new roles for transcript alteration in yeast.

http://www.wikidata.org/entity/Q38253819

about

Next-generation analysis of gene expression regulation--comparing the roles of synthesis and degradation Genetic architecture of ethanol-responsive transcriptome variation in Saccharomyces cerevisiae strains.Natural variation in the yeast glucose-signaling network reveals a new role for the Mig3p transcription factor.A novel single-cell screening platform reveals proteome plasticity during yeast stress responses Pathway connectivity and signaling coordination in the yeast stress-activated signaling network.Modeling phenotypic metabolic adaptations of Mycobacterium tuberculosis H37Rv under hypoxia Inferring metabolic states in uncharacterized environments using gene-expression measurements Identifying Aspects of the Post-Transcriptional Program Governing the Proteome of the Green Alga Micromonas pusilla Death by a thousand cuts: the challenges and diverse landscape of lignocellulosic hydrolysate inhibitors OnPLS integration of transcriptomic, proteomic and metabolomic data shows multi-level oxidative stress responses in the cambium of transgenic hipI- superoxide dismutase Populus plants Imaging mass spectrometry for assessing temporal proteomics: analysis of calprotectin in Acinetobacter baumannii pulmonary infection A chemostat array enables the spatio-temporal analysis of the yeast proteome.Contrasting expression patterns of coding and noncoding parts of the human genome upon oxidative stress.A modular framework for gene set analysis integrating multilevel omics data.Leveraging the complementary nature of RNA-Seq and shotgun proteomics data.Mean of the typical decoding rates: a new translation efficiency index based on the analysis of ribosome profiling data.A high-resolution tissue-specific proteome and phosphoproteome atlas of maize primary roots reveals functional gradients along the root axes.Protein-to-mRNA ratios are conserved between Pseudomonas aeruginosa strains Predicting the dynamics of protein abundance.Genome of Paulownia (Paulownia fortunei) illuminates the related transcripts, miRNA and proteins for salt resistance Transcriptome and proteome quantification of a tumor model provides novel insights into post-transcriptional gene regulation Global mapping of CARM1 substrates defines enzyme specificity and substrate recognition.A computational algorithm for functional clustering of proteome dynamics during development The effect of tRNA levels on decoding times of mRNA codons.Multiple means to the same end: the genetic basis of acquired stress resistance in yeast.Proteome changes driven by phosphorus deficiency and recovery in the brown tide-forming alga Aureococcus anophagefferens.Comparative analysis of different label-free mass spectrometry based protein abundance estimates and their correlation with RNA-Seq gene expression data.One third of dynamic protein expression profiles can be predicted by a simple rate equation.Parallel reaction monitoring for high resolution and high mass accuracy quantitative, targeted proteomics.Characterization of functional reprogramming during osteoclast development using quantitative proteomics and mRNA profiling.Improving metabolic flux predictions using absolute gene expression data.Balancing noise and plasticity in eukaryotic gene expression.The conundrum of discordant protein and mRNA expression. Are plants special?The proteome and phosphoproteome of Neurospora crassa in response to cellulose, sucrose and carbon starvation.Protein analysis by shotgun/bottom-up proteomics COMPASS: a suite of pre- and post-search proteomics software tools for OMSSA Nonsense-mediated mRNA decay controls the changes in yeast ribosomal protein pre-mRNAs levels upon osmotic stress Life on the edge: functional genomic response of Ignicoccus hospitalis to the presence of Nanoarchaeum equitans Elevated temperature alters proteomic responses of individual organisms within a biofilm community.New universal rules of eukaryotic translation initiation fidelity

P2860

Q26799746-2F3D1A2E-D213-4377-A69E-7328EFE29F35 Q27930309-EDBCBEBC-C37A-4A07-9D23-DE1C948D9CC4 Q27934518-4190823C-CAF8-4DBA-854F-C4AD116BC6A3 Q27935802-34BC63B2-A066-4DA6-BD1B-BDB4D0739296 Q27937397-B2915BA4-CB67-4CCB-8678-30412DBBC046 Q28483742-58C272D7-CCF6-48C8-8D56-343D8DC55F67 Q28488605-67A7370F-8A01-401A-98CC-2AF6A43822FC Q28552694-938A2B41-1209-4522-962D-7F1248692FF8 Q28657751-A1875B4C-2E09-4A10-A2F1-41AC97D407FE Q30000693-E4878660-8D80-40C8-9DB4-BB5C9CEE065D Q30440550-BCDDEDE0-75C0-454A-8C1B-9462ADF94367 Q30547352-841E5F03-8662-4D2F-815F-A3379F772137 Q30652200-25C2E2AF-79F4-419C-B971-73F6D034D594 Q30663351-0E26556B-87F8-4E1C-B975-B05362FE1753 Q30855943-3E04E2F8-5932-40E5-B1C5-7CC09EC31D3B Q30873166-039679DB-D661-45EF-92B3-3CA98ADF737E Q33360318-953903F9-45CB-4704-9713-F56CB9F6709A Q33577327-CA21001B-0BE8-4885-A7A2-261AA3F5DF03 Q33583189-44DAF657-2497-4591-B9D7-7FC33CD2495B Q33682768-97EBDF98-9FF0-4F58-9E7B-E8F18B3CDAE0 Q33742701-4FB35B1F-03CA-4B0F-8835-C3D5E1BBD37D Q33761232-FB33CC67-1B2F-4AA7-B0C1-C56CB3D09C11 Q33782146-DEF7823B-F7B0-447A-A3EB-C33294D6B165 Q34044490-36C95851-5C59-4E31-B69A-6D88B3388DEC Q34079179-0FD01B89-2AAA-4403-88C4-E1B8A91D3987 Q34110561-553E6462-A5C7-4E36-BFE2-8F38BAB45A24 Q34157419-E84E9B08-D29F-4AA2-9D33-6B3CCCCA5BEC Q34282997-76AAEE2C-7888-4AE4-9040-F424D6F5345F Q34292436-3BCBD94B-7829-4408-9964-6EA359227CA3 Q34303394-63DC57FD-7F76-4E7F-8A1C-B83B140AF7F9 Q34309177-B391F241-002D-4654-B464-FBA1D2909349 Q34354449-BBD83818-2F32-4F51-94F3-DCF72B97412E Q34471151-6B11C3C7-9388-4459-AEF6-A802D84DD5F0 Q34587779-D5A6614A-7B4B-4FEA-A808-C1ADC3849993 Q34600986-DE01F6F0-BAD4-4CE6-9D3C-A3A0909085FB Q34629832-9FA56CEE-FC8D-48FA-AE9B-E17BAA5FE000 Q34688707-57DDF652-AC3B-4264-A6C4-623B380FC16D Q34760412-90B6BA86-C1FF-40CD-B7A6-D8E67CA05985 Q34760417-ADFE3049-2252-4B9C-94FF-FDB4B0FB2326 Q34845179-BC9C2FC7-C749-4E80-8711-417D01E17376

P2860

A dynamic model of proteome changes reveals new roles for transcript alteration in yeast.

http://www.wikidata.org/entity/Q38253819

description

2011 nî lūn-bûn

@nan

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

2011年论文

@zh

2011年论文

@zh-cn

name

A dynamic model of proteome changes reveals new roles for transcript alteration in yeast.

@en

type

label

A dynamic model of proteome changes reveals new roles for transcript alteration in yeast.

@en

prefLabel

A dynamic model of proteome changes reveals new roles for transcript alteration in yeast.

@en

P1433

Q38253819-4BC0B6B4-A361-4291-87D7-A834BC9138E2

P1476

Q38253819-8F16C196-0EA2-4649-BD38-493B5AA6499B

P2093

Q38253819-5340ECBF-FECA-4F01-B5AA-EDD6B56968EE

Q38253819-5EE0DC0D-861B-4D48-9824-60AFFEC38872

Q38253819-6EB147A8-1437-431D-B198-9D2B6BEECFEA

Q38253819-71D67018-CF96-4E43-B035-2D99DEB62518

Q38253819-8AACCD1E-EF16-4697-85FA-8AC14CC954D1

Q38253819-97B52685-3A4E-42EE-8EE7-181637CE377D

Q38253819-FBA21400-4613-4064-9C52-93F9E2168DB4

P2860

Q38253819-041D1944-59E1-44B7-8F86-DF5D09418995

Q38253819-0788A935-A1F0-4CD8-AC36-452175CF7B9E

Q38253819-0C706BE5-AFCB-4AF0-A8AB-336C9AA58E59

Q38253819-0DE19C05-AE4E-40BE-A081-8D6124083F4B

Q38253819-1E3D4448-4DCD-4D04-B1CF-7CEAEEB7A0E5

Q38253819-22033255-4004-42DD-BDBB-3DEA600D6682

Q38253819-277DB9D2-A599-4F6A-8E87-22A26493138D

Q38253819-281DB05D-CC30-4320-8415-D1D80D9847EC

Q38253819-2956C969-A37F-4615-BBCE-376B53D2B797

Q38253819-2CA364D0-973B-497E-A2E4-CAFAB7D5911F

P304

Q38253819-5945E2E8-B2D6-4660-A751-30FA029AB81B

P31

Q38253819-6528A144-5AD3-4BC9-B7EF-EEE96B7BBC48

P356

Q38253819-40162D2A-E651-44E6-B8AC-4C851D6CC352

P478

Q38253819-0281AFB8-4A77-4D7A-8F87-62C3F1679B66

P577

Q38253819-1A624CF2-94F4-4815-BE21-1A5623C63AD3

P5875

Q38253819-5A236FCD-6989-4E0D-807E-78DCB2FD7080

P698

Q38253819-7AC94552-9FCB-4D8F-AF79-FCC5B75CD47E

P932

Q38253819-7817A996-F5BD-48B0-8DFF-B5E4AB784902

P356

P1433

Molecular Systems Biology

P1476

A dynamic model of proteome changes reveals new roles for transcript alteration in yeast.

@en

P2093

Audrey P Gasch

http://www.w3.org/2001/XMLSchema#string

Craig D Wenger

http://www.w3.org/2001/XMLSchema#string

James Hose

http://www.w3.org/2001/XMLSchema#string

Joshua J Coon

http://www.w3.org/2001/XMLSchema#string

M Violet Lee

http://www.w3.org/2001/XMLSchema#string

Scott E Topper

http://www.w3.org/2001/XMLSchema#string

Shane L Hubler

http://www.w3.org/2001/XMLSchema#string

P2860

Single-RNA counting reveals alternative modes of gene expression in yeast

The incoherent feed-forward loop can generate non-monotonic input functions for genes

Quantification of protein half-lives in the budding yeast proteome

Statistical significance for genomewide studies

Comparing protein abundance and mRNA expression levels on a genomic scale

Structure and function of the feed-forward loop network motif

Global analysis of protein expression in yeast

A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

Linear models and empirical bayes methods for assessing differential expression in microarray experiments

Genomic expression programs in the response of yeast cells to environmental changes

P304

514

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1038/MSB.2011.48

http://www.w3.org/2001/XMLSchema#string

P478

7

http://www.w3.org/2001/XMLSchema#string

P577

2011-07-19T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

51505143

http://www.w3.org/2001/XMLSchema#string

P698

21772262

http://www.w3.org/2001/XMLSchema#string

P932

3159980

http://www.w3.org/2001/XMLSchema#string