Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Erica M. Forsberg"'
Publikováno v:
Metabolites, Vol 10, Iss 4, p 156 (2020)
Genomics-based metabolic models of microorganisms currently have no easy way of corroborating predicted biomass with the actual metabolites being produced. This study uses untargeted mass spectrometry-based metabolomics data to generate a list of acc
Externí odkaz:
https://doaj.org/article/8206cb259ad348099a9d9e40fc9968fe
Autor:
Kyle E. Malter, Milagros Esmerode, Myedith Damba, Amanda T. Alker, Erica M. Forsberg, Nicholas J. Shikuma
Publikováno v:
Developmental Biology. 487:99-109
External environmental cues can have significant impacts on the timing and outcomes of animal development. For the swimming larvae of many marine invertebrates, the presence of specific surface-bound bacteria are important cues that help larvae ident
Autor:
Orest Kuzyk, Carina Pfann, Gary Siuzdak, Erica M. Forsberg, Alexander Loy, Craig W. Herbold, Benedikt Warth, David Berry, Alessandra Riva, Holger Daims
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
Nature Communications
Nature Communications
Compartmentalization of the gut microbiota is thought to be important to system function, but the extent of spatial organization in the gut ecosystem remains poorly understood. Here, we profile the murine colonic microbiota along longitudinal and lat
Autor:
Erica M. Forsberg, Jessica Mastroianni, Kim D. Finley, Brandon Molina, Ema Suarez, Brijinder Soni
Publikováno v:
Cells, Vol 10, Iss 900, p 900 (2021)
Cells
Volume 10
Issue 4
Cells
Volume 10
Issue 4
Drosophila are widely used to study neural development, immunity, and inflammatory pathways and processes associated with the gut–brain axis. Here, we examine the response of adult Drosophila given an inactive bacteriologic (IAB
proprietary ly
proprietary ly
Publikováno v:
Metabolites, Vol 10, Iss 156, p 156 (2020)
Metabolites
Volume 10
Issue 4
Metabolites
Volume 10
Issue 4
Genomics-based metabolic models of microorganisms currently have no easy way of corroborating predicted biomass with the actual metabolites being produced. This study uses untargeted mass spectrometry-based metabolomics data to generate a list of acc
Autor:
Ellen Kuang, Amelia Palermo, Gary Siuzdak, Benedikt Warth, H. Paul Benton, Aries E. Aisporna, Elizabeth Billings, David Berry, Erica M. Forsberg
Publikováno v:
ACS Nano
Nanostructure imaging mass spectrometry (NIMS) with fluorinated gold nanoparticles (f-AuNPs) is a nanoparticle assisted laser desorption/ionization approach that requires low laser energy and has demonstrated high sensitivity. Here we describe NIMS w
Autor:
H. Paul Benton, Brian T. Abe, J. Rafael Montenegro-Burke, Luc Teyton, Mingliang Fang, Aries E. Aisporna, Julijana Ivanisevic, Duane Rinehart, Tao Huan, Luke L. Lairson, Erica M. Forsberg, Dennis W. Wolan, Benedikt Warth, Gary Siuzdak
Publikováno v:
Analytical Chemistry
Analytical chemistry, vol. 89, no. 2, pp. 1254-1259
Analytical chemistry, vol. 89, no. 2, pp. 1254-1259
The speed and throughput of analytical platforms has been a driving force in recent years in the "omics" technologies and while great strides have been accomplished in both chromatography and mass spectrometry, data analysis times have not benefited
Autor:
Gary Siuzdak, Duane Rinehart, Paul D. Robbins, J. Rafael Montenegro-Burke, Farris L. Poole, Erica M. Forsberg, Luke L. Lairson, Tao Huan, Michael P. Thorgersen, Gregory P. Krantz, Thiery Phommavongsay, Matthew W. Fields, H. Paul Benton, Aries E. Aisporna, Michael W. W. Adams, Laura J. Niedernhofer, Trent R. Northen
Publikováno v:
Analytical chemistry, vol 88, iss 19
Montenegro-Burke, JR; Phommavongsay, T; Aisporna, AE; Huan, T; Rinehart, D; Forsberg, E; et al.(2016). Smartphone Analytics: Mobilizing the Lab into the Cloud for Omic-Scale Analyses. Analytical Chemistry, 88(19), 9753-9758. doi: 10.1021/acs.analchem.6b02676. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7mh5p3pt
Analytical Chemistry
Montenegro-Burke, JR; Phommavongsay, T; Aisporna, AE; Huan, T; Rinehart, D; Forsberg, E; et al.(2016). Smartphone Analytics: Mobilizing the Lab into the Cloud for Omic-Scale Analyses. Analytical Chemistry, 88(19), 9753-9758. doi: 10.1021/acs.analchem.6b02676. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7mh5p3pt
Analytical Chemistry
© 2016 American Chemical Society. Active data screening is an integral part of many scientific activities, and mobile technologies have greatly facilitated this process by minimizing the reliance on large hardware instrumentation. In order to meet w
Publikováno v:
Journal of the American Society for Mass Spectrometry. 28:14-20
Mass spectrometry has traditionally been the technology of choice for small molecule analysis, making significant inroads into metabolism, clinical diagnostics, and pharmacodynamics since the 1960s. In the mid-1980s, with the discovery of electrospra
Autor:
Tao Huan, Brian Hilmers, Benedikt Warth, H. Paul Benton, Erica M. Forsberg, Gary Siuzdak, Duane Rinehart
Publikováno v:
Nature protocols. 13(4)
Systems biology is the study of complex living organisms, and as such, analysis on a systems-wide scale involves the collection of information-dense data sets that are representative of an entire phenotype. To uncover dynamic biological mechanisms, b