Quantitative proteomics analysis of adsorbed plasma proteins classifies nanoparticles with different surface properties and size. - Wikidata - wikimedia - TriplyDB

Quantitative proteomics analysis of adsorbed plasma proteins classifies nanoparticles with different surface properties and size.

Quantitative proteomics analysis of adsorbed plasma proteins classifies nanoparticles with different surface properties and size.

http://www.wikidata.org/entity/Q35655227

about

Adsorption of surfactant lipids by single-walled carbon nanotubes in mouse lung upon pharyngeal aspiration Engineered nanomaterial uptake and tissue distribution: from cell to organism Plasma proteins interaction with curcumin nanoparticles: implications in cancer therapeutics The impact of nanoparticle protein corona on cytotoxicity, immunotoxicity and target drug delivery Catalytic Properties and Biomedical Applications of Cerium Oxide Nanoparticles Nanoparticle toxicity by the gastrointestinal route: evidence and knowledge gaps Protein expression profiles of intestinal epithelial co-cultures: effect of functionalised carbon nanotube exposure Silver nanoparticle protein corona composition in cell culture media Provenance information as a tool for addressing engineered nanoparticle reproducibility challenges Analysis of SiO2 nanoparticles binding proteins in rat blood and brain homogenate.The protein corona protects against size- and dose-dependent toxicity of amorphous silica nanoparticles.Significance of surface charge and shell material of superparamagnetic iron oxide nanoparticle (SPION) based core/shell nanoparticles on the composition of the protein corona.Advances in hematopoietic stem cell transplantation in childhood and adolescent lymphomas.Surface characterization of nanomaterials and nanoparticles: Important needs and challenging opportunities.Interactions of engineered nanoparticles with organs protected by internal biological barriers.Advanced nuclear analytical and related techniques for the growing challenges in nanotoxicology.No king without a crown--impact of the nanomaterial-protein corona on nanobiomedicine.Nanoparticle-blood interactions: the implications on solid tumour targeting.A magnetic-dependent protein corona of tailor-made superparamagnetic iron oxides alters their biological behaviors.Biological and environmental surface interactions of nanomaterials: characterization, modeling, and prediction.In vitro gastrointestinal digestion increases the translocation of polystyrene nanoparticles in an in vitro intestinal co-culture model.Specific biomolecule corona is associated with ring-shaped organization of silver nanoparticles in cells.Comparison of nanotube-protein corona composition in cell culture media.NanoEHS beyond Toxicity - Focusing on Biocorona.Biokinetics of Nanomaterials: the Role of Biopersistence.Health implications of engineered nanomaterials.Current Application of Capillary Electrophoresis in Nanomaterial Characterisation and Its Potential to Characterise the Protein and Small Molecule Corona.The Chameleon Effect: Characterization Challenges Due to the Variability of Nanoparticles and Their Surfaces.A proteomics analysis to evaluate cytotoxicity in NRK-52E cells caused by unmodified Nano-Fe₃O₄.

P2860

Q23909704-E61E7771-E48F-45FD-A4FF-91B385BAAE98 Q26861914-7E71DAAF-102F-4C6E-81F1-520591AFF47A Q27026623-FC432F81-8CCA-4907-961E-432C0F7FD10D Q28085280-46A66F5C-7D9C-49D2-A23E-4F1BE0CDE8D3 Q28383937-63DC57D6-35CF-4011-AD0E-7D28EC2D9B93 Q28390761-582C210F-86A6-41C9-8F26-22C772D62D68 Q28390771-5F0A4342-95C6-4169-B1D7-7B22F0A5DE7E Q28536934-B4C2F696-6C25-47A3-8EE3-DD6FF6148DB3 Q29048614-9D5374DC-D466-4BFD-8896-14364FA83657 Q34787914-98A62BD4-AA05-4208-A4E9-35827B3E4D06 Q35270450-CC84BF42-DAB9-4673-9E88-0074D0C0F969 Q35719363-0BF391EC-E628-479D-9B3A-D0F09EDEE88A Q36979074-1B2D0692-8DD3-42FB-A634-A95F91006083 Q37406394-234687D3-BB37-4A88-B45B-5CA2EEBE1095 Q38055450-3395CA96-889A-4DC3-B4EF-4CE44C9F73D5 Q38122657-FEB51841-9FDC-4F8E-A85B-99B8D62F8B8B Q38364473-7432CA91-0A13-41DE-A54B-D8C48999372A Q38717580-59E9855E-F320-45B9-BF97-90F87E81FD60 Q38788412-DC26E3EA-B246-41E1-A633-D65B971A050C Q39013235-3ACF3054-1C03-4429-99D0-863C4F9CE55E Q39040950-1726EFAB-0F8A-46D6-B2E4-16BBBDEB59A8 Q39113210-EDB7D985-595C-475C-AA82-3AA852DBDA16 Q43071119-884D0A63-5155-4977-B0A5-64753D955D44 Q46827035-11EABEA9-B83A-49D5-91D1-505BBD2561F9 Q47745983-C3C71EB6-8157-4385-ADA7-B7DE29FF32BA Q48013570-8B1E3505-A06E-4620-8E7A-59B5BDB9463E Q50034205-9F5E1481-8DC3-4EAA-AF98-12241E44F326 Q55408738-6FA12BA1-D728-4249-BF90-CE4A54B26974 Q55640744-16386C8F-82D4-4DE3-9532-3B7676ABBA82

P2860

Quantitative proteomics analysis of adsorbed plasma proteins classifies nanoparticles with different surface properties and size.

http://www.wikidata.org/entity/Q35655227

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

Quantitative proteomics analys ...... t surface properties and size.

@ast

Quantitative proteomics analys ...... t surface properties and size.

@en

type

label

Quantitative proteomics analys ...... t surface properties and size.

@ast

Quantitative proteomics analys ...... t surface properties and size.

@en

prefLabel

Quantitative proteomics analys ...... t surface properties and size.

@ast

Quantitative proteomics analys ...... t surface properties and size.

@en

P1433

Q35655227-75894978-4690-4852-BBA5-B2B70CAF5F7C

P1476

Q35655227-5172B153-E185-4FD4-B546-A594E39189B0

P2093

Q35655227-0B7D9D7E-B9D8-4B2C-9774-12C814DF357C

Q35655227-1A329E59-D2B7-4713-A246-B54EB09CE916

Q35655227-3D7DDC40-03E6-412F-8B9B-E0921B1B1999

Q35655227-42179CDE-4B6A-423A-BA27-DF76280D44EF

Q35655227-438F2EFC-F669-4F7E-8933-B8212313A3B4

Q35655227-894E047D-ACCA-4956-8D3C-4AAD6BB48847

Q35655227-B179E4E8-F82B-4568-9737-945F19B5DCE8

Q35655227-C729EE98-5140-415D-A7C8-778858634584

Q35655227-C8BD4293-E562-4BE4-B972-5B9AB4BC581E

Q35655227-F91CEB7E-F294-4799-A530-C685C9367495

P2860

Q35655227-0A9BAAFC-57BF-484F-9685-F2C5BCEA3C83

Q35655227-1C2D5FAC-B8E0-4A2E-BE40-5252C7C7A8BB

Q35655227-1D006F4E-1D0A-46BC-BA7B-FFCE055F5E27

Q35655227-20774964-FEA2-44DE-975D-B4C26C33B849

Q35655227-2E4240B1-1842-4807-8F22-0813551585A0

Q35655227-33D108C2-56A6-4A9F-BCBA-CB1918FDA167

Q35655227-423848FF-68CB-493D-BBAA-C8CDEB728637

Q35655227-42802AE9-1ED5-44CD-9BE3-B32EB467420F

Q35655227-43BB6ADB-0BCB-4EF9-AB85-02DAECB508C2

Q35655227-45BB5C40-40F1-46D7-A8AD-A8D3832DB6C1

P304

Q35655227-AC271F32-11C5-43AB-8BBF-DC67203BEDBB

P31

Q35655227-9E4CBA13-1695-49E7-AB70-F0EC7EC10316

P356

Q35655227-6F2E3A66-BCB8-4DD0-94DF-CBE6EBF62C5F

P433

Q35655227-CF5F34A5-A6C2-422D-B8CE-386B4EC01601

P478

Q35655227-3FA244A4-B9D2-49D9-ABA3-113ECD0F6BAC

P50

Q35655227-26B025AC-FD3C-4277-AED3-16104C2E55D7

Q35655227-83752DCB-DC17-463E-881C-22713886FC42

Q35655227-B40FA330-A177-4B23-89EF-FA040A907A0B

Q35655227-ED28E9FF-8D28-48AF-970C-4CBF2F8EE4F8

P577

Q35655227-0AE9328A-8948-4239-9257-B29BE8CAA746

P5875

Q35655227-2C13B007-3530-483D-A15D-3E0AABD85C89

P698

Q35655227-77485A2B-DBA6-4C4F-AFB9-7B9E3B7F4556

P921

Q35655227-71909B24-8211-484B-8D20-F9852A51CA48

P932

Q35655227-8EAC1FD2-EE1C-4690-B993-D799014E52BD

P356

P1433

P1476

Quantitative proteomics analys ...... t surface properties and size.

@en

P2093

Alejandro Heredia-Langner

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

Bobbie-Jo M Webb-Robertson

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

Brian D Thrall

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

Brianne O Petritis

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

David G Camp

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

Haizhen Zhang

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

Jong-Seo Kim

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

Maria L Luna

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

Ronald J Moore

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

Wei-Jun Qian

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

P2860

A statistical model for identifying proteins by tandem mass spectrometry

Toxic potential of materials at the nanolevel

VIPER: an advanced software package to support high-throughput LC-MS peptide identification

Understanding the nanoparticle-protein corona using methods to quantify exchange rates and affinities of proteins for nanoparticles

Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts

Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry

Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome

Advances in proteomics data analysis and display using an accurate mass and time tag approach.

Quantitative proteome analysis of human plasma following in vivo lipopolysaccharide administration using 16O/18O labeling and the accurate mass and time tag approach.

DAnTE: a statistical tool for quantitative analysis of -omics data.

P304

4569-4577

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

P31

scholarly article

P356

10.1002/PMIC.201100037

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

P433

23

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

P478

11

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

P50

Kristin E Burnum

Richard D. Smith

P577

2011-11-04T00:00:00Z

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

P5875

230291069

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

P698

21956884

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

P921

P932

3252235

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