Evidence map›Paper›PMID 34985756›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Cell-Free Paper-Based Analysis of Gut Microbiota and Host Biomarkers.

Melissa K Takahashi, Xiao Tan, Aaron J Dy

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Melissa K Takahashi *Department of Biology, California State University Northridge, Northridge, CA, USA. melissa.takahashi@csun.edu.
Xiao Tan *Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Aaron J Dy *Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiome and its interactions with the host have been shown to affect several aspects of human health and disease. Investigations to elucidate these mechanisms typically involve sequence analysis of fecal samples. To support these studies, we present methods to design RNA toehold switch sensors to detect microbial and host transcripts. The sensors are embedded in paper-based, cell-free reactions that enable affordable and rapid analysis of microbiome samples.

Indexed as

Gastrointestinal MicrobiomeBacteriaBiomarkersFecesHumansRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16SBiosensorsGut microbiotaHost biomarkersNASBAPaper-based diagnosticsRNA toehold switch

Identifiers

PMID34985756

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.