Recruitment of human light chain proteins by synthetic fibrils is dependent on disease state and may be used to predict amyloidogenic propensity

Emily B. Martin; Angela Williams; Craig Wooliver; R. Eric Heidel; Sarah Adams; John Dunlap; Marina Ramirez-Alvarado; Luis Blancas-Mejia; Stephen J. Kennel; Jonathan S. Wall

doi:10.1080/13506129.2017.1295374

Recruitment of human light chain proteins by synthetic fibrils is dependent on disease state and may be used to predict amyloidogenic propensity

Emily B. Martin, Angela Williams, Craig Wooliver, R. Eric Heidel, Sarah Adams, John Dunlap, Marina Ramirez-Alvarado, Luis Blancas-Mejia, Stephen J. Kennel, Jonathan S. Wall

Biochemistry and Molecular Biology

Research output: Contribution to journal › Letter › peer-review

1 Scopus citations

Original language	English (US)
Pages (from-to)	24-25
Number of pages	2
Journal	Amyloid
Volume	24
DOIs	https://doi.org/10.1080/13506129.2017.1295374
State	Published - Mar 16 2017

ASJC Scopus subject areas

Internal Medicine

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10.1080/13506129.2017.1295374

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Martin, E. B., Williams, A., Wooliver, C., Heidel, R. E., Adams, S., Dunlap, J., Ramirez-Alvarado, M., Blancas-Mejia, L., Kennel, S. J., & Wall, J. S. (2017). Recruitment of human light chain proteins by synthetic fibrils is dependent on disease state and may be used to predict amyloidogenic propensity. Amyloid, 24, 24-25. https://doi.org/10.1080/13506129.2017.1295374

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author = "Martin, {Emily B.} and Angela Williams and Craig Wooliver and Heidel, {R. Eric} and Sarah Adams and John Dunlap and Marina Ramirez-Alvarado and Luis Blancas-Mejia and Kennel, {Stephen J.} and Wall, {Jonathan S.}",

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AU - Martin, Emily B.

AU - Williams, Angela

AU - Wooliver, Craig

AU - Heidel, R. Eric

AU - Adams, Sarah

AU - Dunlap, John

AU - Ramirez-Alvarado, Marina

AU - Blancas-Mejia, Luis

AU - Kennel, Stephen J.

AU - Wall, Jonathan S.

PY - 2017/3/16

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SN - 1350-6129

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JO - Amyloid

JF - Amyloid

ER -

Recruitment of human light chain proteins by synthetic fibrils is dependent on disease state and may be used to predict amyloidogenic propensity

ASJC Scopus subject areas

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