The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
Open accessAbstract
There is a need for large-scale, longitudinal studies to determine the mechanisms by which the gut microbiome and its interactions with the host affect human health and disease. Current methods for profiling the microbiome typically utilize next-generation sequencing applications that are expensive, slow, and complex. Here, we present a synthetic biology platform for affordable, on-demand, and simple analysis of microbiome samples using RNA toehold switch sensors in paper-based, cell-free reactions. We demonstrate species-specific detection of mRNAs from 10 different bacteria that affect human health and four clinically relevant host biomarkers. We develop a method to quantify mRNA using our toehold sensors and validate our platform on clinical stool samples by comparison to RT-qPCR. We further highlight the potential clinical utility of the platform by showing that it can be used to rapidly and inexpensively detect toxin mRNA in the diagnosis of Clostridium difficile infections.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments
Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., Mueller, R., Nolan, T., Pfaffl, M. W., Shipley, G. L., et al. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.112797 · Cited by 16,303
CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity
Chen, J. S., Ma, E., Harrington, L. B., Da Costa, M., Tian, X., Palefsky, J. M., & Doudna, J. A. (2018) · Science · doi:10.1126/science.aar6245 · Cited by 4,507
Commensal Bifidobacterium promotes antitumor immunity and facilitates anti–PD-L1 efficacy
Sivan, A., Corrales, L., Hubert, N., Williams, J. B., Aquino-Michaels, K., Earley, Z. M., Benyamin, F. W., Man Lei, Y., Jabri, B., Alegre, M.-L., et al. (2015) · Science · doi:10.1126/science.aac4255 · Cited by 3,888
Duodenal Infusion of Donor Feces for Recurrent Clostridium difficile
van Nood, E., Vrieze, A., Nieuwdorp, M., Fuentes, S., Zoetendal, E. G., de Vos, W. M., Visser, C. E., Kuijper, E. J., Bartelsman, J. F. W. M., Tijssen, J. G. P., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1205037 · Cited by 3,708
Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota
Vétizou, M., Pitt, J. M., Daillère, R., Lepage, P., Waldschmitt, N., Flament, C., Rusakiewicz, S., Routy, B., Roberti, M. P., Duong, C. P. M., et al. (2015) · Science · doi:10.1126/science.aad1329 · Cited by 3,488
Gut microbiota, metabolites and host immunity
Rooks, M. G., & Garrett, W. S. (2016) · Nature reviews. Immunology · doi:10.1038/nri.2016.42 · Cited by 3,409
Metagenomic microbial community profiling using unique clade-specific marker genes
Segata, N., Waldron, L., Ballarini, A., Narasimhan, V., Jousson, O., & Huttenhower, C. (2012) · Nature Methods · doi:10.1038/nmeth.2066 · Cited by 1,776
Persistent gut microbiota immaturity in malnourished Bangladeshi children
Subramanian, S., Huq, S., Yatsunenko, T., Haque, R., Mahfuz, M., Alam, M. A., Benezra, A., DeStefano, J., Meier, M. F., Muegge, B. D., et al. (2014) · Nature · doi:10.1038/nature13421 · Cited by 1,270
Meta‐analyses of human gut microbes associated with obesity and IBD
Walters, W. A., Xu, Z., & Knight, R. (2014) · FEBS Letters · doi:10.1016/j.febslet.2014.09.039 · Cited by 836
Gut bacteria that prevent growth impairments transmitted by microbiota from malnourished children
Blanton, L. V., Charbonneau, M. R., Salih, T., Barratt, M. J., Venkatesh, S., Ilkaveya, O., Subramanian, S., Manary, M. J., Trehan, I., Jorgensen, J. M., et al. (2016) · Science · doi:10.1126/science.aad3311 · Cited by 735
Cited by
Cell-free gene expression: an expanded repertoire of applications
Silverman, A. D., Karim, A. S., & Jewett, M. C. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-019-0186-3 · Cited by 593
Nucleic Acid Detection Using CRISPR/Cas Biosensing Technologies
Aman, R., Mahas, A., & Mahfouz, M. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.9b00507 · Cited by 409
Dynamic and scalable DNA-based information storage
Lin, K. N., Volkel, K., Tuck, J. M., & Keung, A. J. (2020) · Nature Communications · doi:10.1038/s41467-020-16797-2 · Cited by 117
Ayoubi‐Joshaghani, M. H., Dianat‐Moghadam, H., Seidi, K., Jahanban‐Esfahalan, A., Zare, P., & Jahanban‐Esfahlan, R. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27248 · Cited by 52
Understanding the Functionality of Probiotics on the Edge of Artificial Intelligence (AI) Era
Asar, R., Erenler, S., Devecioglu, D., Ispirli, H., Karbancioglu-Guler, F., Ozturk, H. I., & Dertli, E. (2025) · Fermentation · doi:10.3390/fermentation11050259 · Cited by 37
Metadata
- Authors
- Takahashi, M. K., Tan, X., Dy, A. J., Braff, D., Akana, R. T., Furuta, Y., Donghia, N., Ananthakrishnan, A., & Collins, J. J.
- Venue
- Nature Communications
- Published
- 2018-08-21
- Volume
- 9
- Issue
- 1
- Pages
- 3347-3347
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2885265830
- Cited by
- 236
- References
- 12
- FWCI
- 11.61
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers. https://app.cochat.ai/papers/10.1038/s41467-018-05864-4
- The paper
- Takahashi, M. K., Tan, X., Dy, A. J., Braff, D., Akana, R. T., Furuta, Y., Donghia, N., Ananthakrishnan, A., & Collins, J. J. (2018). A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers. Nature Communications. https://doi.org/10.1038/s41467-018-05864-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.