A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level. - Wikidata - awgldk - TriplyDB

A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level.

A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level.

http://www.wikidata.org/entity/Q34284674

about

Fluorescent Reporter Libraries as Useful Tools for Optimizing Microbial Cell Factories: A Review of the Current Methods and Applications Analytics for Metabolic Engineering Application of a genetically encoded biosensor for live cell imaging of L-valine production in pyruvate dehydrogenase complex-deficient Corynebacterium glutamicum strains Bio-based production of organic acids with Corynebacterium glutamicum Synthetic biology expands chemical control of microorganisms Atmospheric and room temperature plasma (ARTP) as a new powerful mutagenesis tool.Finding the Needle in the Haystack-the Use of Microfluidic Droplet Technology to Identify Vitamin-Secreting Lactic Acid Bacteria Recombineering in Corynebacterium glutamicum combined with optical nanosensors: a general strategy for fast producer strain generation Evolution-guided optimization of biosynthetic pathways.Microfluidic picoliter bioreactor for microbial single-cell analysis: fabrication, system setup, and operation.Developing a high-throughput screening method for threonine overproduction based on an artificial promoter Screening of an Escherichia coli promoter library for a phenylalanine biosensor.Evolving the L-lysine high-producing strain of Escherichia coli using a newly developed high-throughput screening method.Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System.Functional mining of transporters using synthetic selections.Microbial solvent formation revisited by comparative genome analysis A growth- and bioluminescence-based bioreporter for the in vivo detection of novel biocatalysts.Genetically encoded sensors enable real-time observation of metabolite production.Corynebacterium glutamicum Metabolic Engineering with CRISPR Interference (CRISPRi).Corynebacterium glutamicum promoters: a practical approach.Microbial heterogeneity affects bioprocess robustness: dynamic single-cell analysis contributes to understanding of microbial populations.Application of metabolic engineering for the biotechnological production of L-valine.Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.Challenges of metagenomics and single-cell genomics approaches for exploring cyanobacterial diversity.A giant market and a powerful metabolism: L-lysine provided by Corynebacterium glutamicum.Engineering microbial cell factories: Metabolic engineering of Corynebacterium glutamicum with a focus on non-natural products.Transcription factor-based biosensors in biotechnology: current state and future prospects.Novel technologies provide more engineering strategies for amino acid-producing microorganisms.Novel Technologies for Optimal Strain Breeding.Updates on industrial production of amino acids using Corynebacterium glutamicum.Light-Controlled Cell Factories: Employing Photocaged Isopropyl-β-d-Thiogalactopyranoside for Light-Mediated Optimization of lac Promoter-Based Gene Expression and (+)-Valencene Biosynthesis in Corynebacterium glutamicum.Optimization of industrial microorganisms: recent advances in synthetic dynamic regulators.Synthetic biology approaches for the production of plant metabolites in unicellular organisms.A Sense of Balance: Experimental Investigation and Modeling of a Malonyl-CoA Sensor in Escherichia coli.Monitoring of population dynamics of Corynebacterium glutamicum by multiparameter flow cytometry.Assessing glycolytic flux alterations resulting from genetic perturbations in E. coli using a biosensor.Synthetic biosensors for precise gene control and real-time monitoring of metabolites Novel technologies combined with traditional metabolic engineering strategies facilitate the construction of shikimate-producing Escherichia coli.Need for speed - finding productive mutations using transcription factor-based biosensors, fluorescence-activated cell sorting and recombineering.Visualization of imbalances in sulfur assimilation and synthesis of sulfur-containing amino acids at the single-cell level.

P2860

Q26781055-AADC166F-485B-4A1A-80B6-C5992B2F26BD Q26781070-12ADBBC1-7392-4105-867E-C8F483FDC963 Q27333354-D594C871-A693-431D-BCCD-E60D35985CAF Q28659359-60571980-FC42-4D0E-B135-E71925D87C9E Q28828848-E7EBAB16-B7D9-483F-A518-B2872999A03E Q33461440-6305838E-D0C1-4C28-A4FD-16454DEDFE17 Q33741246-2B5887F3-18BA-49FF-8BFE-4C801A813425 Q34695274-9AF96F62-6C31-49D8-8449-A704F8E6A571 Q34752504-77D96306-A8B3-4C44-82E3-9C1564F847A0 Q35066490-D33F9B8E-0FC0-4962-96DC-583DB269546F Q35752592-E0B34890-7B20-4DFB-A0E5-6990D4E72061 Q36015187-0653B35B-A078-470F-ADFC-E171228E388F Q36066368-3A89CAD8-75A6-4089-98FD-F3BDED62995E Q36120223-7781334B-8312-4F12-94B4-AA340BD71FD7 Q36150815-662AB6C5-FA36-4C5D-933C-A8A6AFE100EC Q36305698-EB4071FD-D2D2-420D-87FA-C7546D1590F0 Q36341740-AB7827FB-466B-4E29-A7B5-110D447D1ABD Q36659081-7BE8C7C3-8193-4210-B0D1-5E45F5AB03CF Q36928751-F43729FF-FC01-44CF-8A24-0747A5F0D868 Q38072991-88816EE8-7119-4153-BE07-912E9A6117F1 Q38177223-BC8541DE-A683-403E-8468-AB51A1252CFC Q38210902-891C42A7-4F2D-4F5F-AF1C-9E88EAF68A29 Q38287400-04A7B7AF-9318-4728-A929-63D6A0A22520 Q38291035-66C47142-905D-4753-BC95-04AF4A625FA1 Q38374134-5A986D3E-E112-4682-AD8B-06313361F1B3 Q38555542-E5B9771F-D7D0-496E-8B17-1531BFEE7BEE Q38621423-910B9713-6BCF-4F94-BCA9-E0F924EA9F02 Q38692824-36DA088C-2168-4550-98B2-F8D34F617A32 Q38792216-486D0EDA-4108-43E8-99F7-D3AEF636B627 Q38818234-5202D8FA-E0AA-416D-8734-EBC7E0D81F2C Q38831740-CE054662-A5F7-404B-A263-112E8880207F Q39004632-1402CF13-A0BF-4E02-B123-5D01FE953069 Q39267086-369053CF-838D-47D9-B9A2-D998BAC1D549 Q39389460-5C56D380-BB48-4F50-BD69-C1BE46CC8BFB Q39492999-6C57078E-E2FC-48F8-AC4C-1FB90043F4DC Q41380617-808EC338-0434-41DB-8E5E-0957DABB083E Q41874589-2038919F-289C-479E-8CB7-0CBEB2C39920 Q41946587-24657A62-0E6B-4932-9861-56FF92DC32F8 Q41947165-ADC65306-1A7B-48EB-B8E6-4F0CCADF090B Q42228909-18CB3A78-C786-43DC-A096-CE897DD6DD4F

P2860

A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level.

http://www.wikidata.org/entity/Q34284674

description

2012 nî lūn-bûn

@nan

2012 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

name

A high-throughput approach to ...... cers at the single-cell level.

@ast

A high-throughput approach to ...... cers at the single-cell level.

@en

A high-throughput approach to ...... cers at the single-cell level.

@nl

type

label

A high-throughput approach to ...... cers at the single-cell level.

@ast

A high-throughput approach to ...... cers at the single-cell level.

@en

A high-throughput approach to ...... cers at the single-cell level.

@nl

prefLabel

A high-throughput approach to ...... cers at the single-cell level.

@ast

A high-throughput approach to ...... cers at the single-cell level.

@en

A high-throughput approach to ...... cers at the single-cell level.

@nl

P1433

Q34284674-0F0AFC5E-0141-4723-823E-A10B063B3090

P1476

Q34284674-76804004-D5A0-4FA8-B308-DB5E5FCED39F

P2093

Q34284674-03D4617A-5065-4DB2-95C8-D20EFFC1F406

Q34284674-1F748A3D-62D4-49F0-A30D-C8F77567311D

Q34284674-8A0EA9DA-17D7-452E-BCC0-06ABCC951B36

Q34284674-9BE83C8F-36E9-4AB6-8B2C-957F65D7DEE8

Q34284674-A05D19CA-4866-4B91-9A30-CBC455A1EF12

Q34284674-DCE787AC-8EC2-4063-83A7-C6BEDCEAA23A

P2860

Q34284674-0471C110-5924-408E-A647-39E8C1AF4556

Q34284674-0BBA77F5-CEFA-433F-AF8D-A1E6D766DB53

Q34284674-0FED669D-F508-4704-81F5-2CABFC8163DC

Q34284674-12593AB7-43E9-4287-BAA5-02B47AE5F6AE

Q34284674-19924952-36E2-473F-AC7D-C9076CCC7F5B

Q34284674-20C1B316-D181-41A6-BE7A-AF78B0E8B74F

Q34284674-2DDBAD69-C797-4793-9661-8267D96D70BA

Q34284674-2E331404-B946-4DBE-8AB4-0E2C7A7E20BA

Q34284674-33222230-F40A-48D2-B549-10D38A604BB4

Q34284674-38811272-5FD4-4C25-AFAF-29DF32336547

P2888

Q34284674-689320B7-4DA6-42A9-B8BA-34706B2BB92F

P304

Q34284674-1CB9D156-CC49-49B7-9373-8CDDE11A8D57

P31

Q34284674-5323F4A5-C4EB-4A80-89C4-66512F58EBEF

P356

Q34284674-FD50469B-F394-462B-827B-735F4C0C4F38

P433

Q34284674-CDFC58CF-7D06-4131-9EBC-C99F6286FF85

P478

Q34284674-6A4717CF-023E-4F71-ADD8-910F92B655B8

P50

Q34284674-96E7A3DA-DFFA-4192-9802-D1B4361E26AB

P577

Q34284674-CA031237-A25E-488D-9B95-E1A1A13C1AC8

P5875

Q34284674-8707BBE2-070C-494F-AD99-0A6890465175

P6179

Q34284674-B0408166-CF49-4CF4-A8E9-FA44DD82D1C6

P698

Q34284674-90A8F83D-EBE6-49B1-99DE-37B00A4A559A

P932

Q34284674-366E2E3F-EE54-49EE-9421-15B03DE35722

P356

GB-2012-13-5-R40

P1433

P1476

A high-throughput approach to ...... ucers at the single-cell level

@en

P2093

Georg Schendzielorz

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

Karin Krumbach

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

Kristina Hoffmann

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

Lothar Eggeling

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

Norma Stäbler

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

Stephan Binder

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

P2860

High-level production of amorpha-4,11-diene, a precursor of the antimalarial agent artemisinin, in Escherichia coli

Isoprenoid pathway optimization for Taxol precursor overproduction in Escherichia coli

Mechanism of Concerted Inhibition of 2 2-type Hetero-oligomeric Aspartate Kinase from Corynebacterium glutamicum

Molecular basis of bacterial outer membrane permeability revisited

Molecular basis of bacterial outer membrane permeability

AraC regulatory protein mutants with altered effector specificity.

Flow cytometry for bacteria: enabling metabolic engineering, synthetic biology and the elucidation of complex phenotypes.

Crystal structure of UDP-N-acetylmuramoyl-L-alanine:D-glutamate ligase from Escherichia coli.

Engineering microbial biofuel tolerance and export using efflux pumps

Protein and RNA engineering to customize microbial molecular reporting.

P2888

gb-2012-13-5-r40

P304

R40

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

P31

scholarly article

P356

10.1186/GB-2012-13-5-R40

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

P433

5

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

P478

13

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

P50

P577

2012-05-28T00:00:00Z

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

P5875

225068671

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

P6179

1006112329

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

P698

22640862

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

P932

3446293

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