Literature DB >> 25831066

Combining Raman and FT-IR spectroscopy with quantitative isotopic labeling for differentiation of E. coli cells at community and single cell levels.

Howbeer Muhamadali1, Malama Chisanga1,2, Abdu Subaihi1, Royston Goodacre1.   

Abstract

There is no doubt that the contribution of microbially mediated bioprocesses toward maintenance of life on earth is vital. However, understanding these microbes in situ is currently a bottleneck, as most methods require culturing these microorganisms to suitable biomass levels so that their phenotype can be measured. The development of new culture-independent strategies such as stable isotope probing (SIP) coupled with molecular biology has been a breakthrough toward linking gene to function, while circumventing in vitro culturing. In this study, for the first time we have combined Raman spectroscopy and Fourier transform infrared (FT-IR) spectroscopy, as metabolic fingerprinting approaches, with SIP to demonstrate the quantitative labeling and differentiation of Escherichia coli cells. E. coli cells were grown in minimal medium with fixed final concentrations of carbon and nitrogen supply, but with different ratios and combinations of (13)C/(12)C glucose and (15)N/(14)N ammonium chloride, as the sole carbon and nitrogen sources, respectively. The cells were collected at stationary phase and examined by Raman and FT-IR spectroscopies. The multivariate analysis investigation of FT-IR and Raman data illustrated unique clustering patterns resulting from specific spectral shifts upon the incorporation of different isotopes, which were directly correlated with the ratio of the isotopically labeled content of the medium. Multivariate analysis results of single-cell Raman spectra followed the same trend, exhibiting a separation between E. coli cells labeled with different isotopes and multiple isotope levels of C and N.

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Year:  2015        PMID: 25831066     DOI: 10.1021/acs.analchem.5b00892

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  14 in total

1.  Quantitative and Qualitative Assessment Methods for Biofilm Growth: A Mini-review.

Authors:  Christina Wilson; Rachel Lukowicz; Stefan Merchant; Helena Valquier-Flynn; Jeniffer Caballero; Jasmin Sandoval; Macduff Okuom; Christopher Huber; Tessa Durham Brooks; Erin Wilson; Barbara Clement; Christopher D Wentworth; Andrea E Holmes
Journal:  Res Rev J Eng Technol       Date:  2017-10-24

Review 2.  Microbial phenomics linking the phenotype to function: The potential of Raman spectroscopy.

Authors:  Jin-Kyung Hong; Soo Bin Kim; Eun Sun Lyou; Tae Kwon Lee
Journal:  J Microbiol       Date:  2021-01-26       Impact factor: 3.422

3.  Present and Future of Surface-Enhanced Raman Scattering.

Authors:  Judith Langer; Dorleta Jimenez de Aberasturi; Javier Aizpurua; Ramon A Alvarez-Puebla; Baptiste Auguié; Jeremy J Baumberg; Guillermo C Bazan; Steven E J Bell; Anja Boisen; Alexandre G Brolo; Jaebum Choo; Dana Cialla-May; Volker Deckert; Laura Fabris; Karen Faulds; F Javier García de Abajo; Royston Goodacre; Duncan Graham; Amanda J Haes; Christy L Haynes; Christian Huck; Tamitake Itoh; Mikael Käll; Janina Kneipp; Nicholas A Kotov; Hua Kuang; Eric C Le Ru; Hiang Kwee Lee; Jian-Feng Li; Xing Yi Ling; Stefan A Maier; Thomas Mayerhöfer; Martin Moskovits; Kei Murakoshi; Jwa-Min Nam; Shuming Nie; Yukihiro Ozaki; Isabel Pastoriza-Santos; Jorge Perez-Juste; Juergen Popp; Annemarie Pucci; Stephanie Reich; Bin Ren; George C Schatz; Timur Shegai; Sebastian Schlücker; Li-Lin Tay; K George Thomas; Zhong-Qun Tian; Richard P Van Duyne; Tuan Vo-Dinh; Yue Wang; Katherine A Willets; Chuanlai Xu; Hongxing Xu; Yikai Xu; Yuko S Yamamoto; Bing Zhao; Luis M Liz-Marzán
Journal:  ACS Nano       Date:  2019-10-08       Impact factor: 15.881

4.  Metabolic fingerprinting for diagnosis of fibromyalgia and other rheumatologic disorders.

Authors:  Kevin V Hackshaw; Didem P Aykas; Gregory T Sigurdson; Marcal Plans; Francesca Madiai; Lianbo Yu; Charles A T Buffington; M Mónica Giusti; Luis Rodriguez-Saona
Journal:  J Biol Chem       Date:  2018-12-06       Impact factor: 5.157

5.  Using Stable Isotope Probing and Raman Microspectroscopy To Measure Growth Rates of Heterotrophic Bacteria.

Authors:  Felix Weber; Tatiana Zaliznyak; Virginia P Edgcomb; Gordon T Taylor
Journal:  Appl Environ Microbiol       Date:  2021-09-08       Impact factor: 4.792

6.  Blood serum lipid profiling may improve the management of recurrent miscarriage: a combination of machine learning of mid-infrared spectra and biochemical assays.

Authors:  Zozan Guleken; Pınar Yalçın Bahat; Ömer Faruk Toto; Huri Bulut; Paweł Jakubczyk; Jozef Cebulski; Wiesław Paja; Krzysztof Pancerz; Agnieszka Wosiak; Joanna Depciuch
Journal:  Anal Bioanal Chem       Date:  2022-10-13       Impact factor: 4.478

Review 7.  Bond-selective imaging by optically sensing the mid-infrared photothermal effect.

Authors:  Yeran Bai; Jiaze Yin; Ji-Xin Cheng
Journal:  Sci Adv       Date:  2021-05-14       Impact factor: 14.136

8.  Multiplexed live-cell profiling with Raman probes.

Authors:  Chen Chen; Zhilun Zhao; Naixin Qian; Shixuan Wei; Fanghao Hu; Wei Min
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

9.  Metabolomics investigation of recombinant mTNFα production in Streptomyces lividans.

Authors:  Howbeer Muhamadali; Yun Xu; David I Ellis; Drupad K Trivedi; Nicholas J W Rattray; Kristel Bernaerts; Royston Goodacre
Journal:  Microb Cell Fact       Date:  2015-10-09       Impact factor: 5.328

10.  Application of stable-isotope labelling techniques for the detection of active diazotrophs.

Authors:  Roey Angel; Christopher Panhölzl; Raphael Gabriel; Craig Herbold; Wolfgang Wanek; Andreas Richter; Stephanie A Eichorst; Dagmar Woebken
Journal:  Environ Microbiol       Date:  2017-12-15       Impact factor: 5.476

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