ArticleJournal of visualized experiments : JoVE2019
Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing.
Article in Journal of visualized experiments : JoVE, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
58 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between gut microbiota and allergic rhinitis: a systematic review and meta-analysis.PeerJ · 2025Pooled it
- Roux-en-Y gastric bypass alters microbial circadian rhythms with links to metabolic improvement.American journal of physiology. Gastrointestinal and liver physiology · 2026Article
- Obesogenic Diets Composition Differentially Alters theNutrients · 2026Article
- The potential role of the gut microbiota in the development of autoantibodies associated with Spondyloarthritis: a narrative review.BMC immunology · 2026Review
- CUPID-seq enables highly multiplexed amplicon sequencing via combinatorial in-line dual indexing.bioRxiv : the preprint server for biology · 2026Article
- Maternal Low-Fat and High-Fat Diet Decreases Survival and Alters Cytokine Signaling in Neonatal Mice With Staphylococcus epidermidis Sepsis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Predicting Dietary Impact on Multiple Sclerosis-Related Symptoms With the Gut Microbiome: A Pilot Study Using Unsupervised Machine Learning.Brain and behavior · 2026Article
- IL-17RA signaling promotes the dedifferentiation of Paneth progenitors through ADAM17 to regenerate gut epithelium post-irradiation.Nature communications · 2026Article
- Effects of Substituting Dietary Corn with Grain Byproducts on Fattening Hu Sheep: Growth Performance, Rumen Fermentation, Energy-Nitrogen Metabolism and Greenhouse Gas Emissions.Animals : an open access journal from MDPI · 2026Article
- Prucalopride, a serotonin type 4 receptor agonist, induces fast anxiolytic/antidepressant effects and concomitant changes in the gut microbiota.NPJ biofilms and microbiomes · 2026Article
- Relapsing-Remitting Multiple Sclerosis Is Associated With a Dysbiotic Oral Microbiome.Annals of clinical and translational neurology · 2026Article
- The influence of an environmentally relevant polychlorinated biphenyl mixture on the intestinal microbiota in post-weaning mouse dams.Environmental science and pollution research international · 2026Article
- Effect of Supplemental Bamboo Leaf Extract on Milk Production, Composition, Biochemical Indices, and Fecal Microbiota Diversity in GrazingLife (Basel, Switzerland) · 2025Article
- Human colitis-associated colorectal carcinoma progression is accompanied by dysbiosis with enriched pathobionts.Gut microbes · 2025Article
- Primary tumor microbiomes predict distant metastasis of colorectal cancer.NPJ precision oncology · 2025Article
- Heavy Metals, Gut Microbiota, and Biochemical Markers: Unraveling the Complexities of Obesity.MicrobiologyOpen · 2025Article
- Ramping up the Heat: Induction of Systemic and Pulmonary Immune Responses and Metabolic Adaptations in Mice.bioRxiv : the preprint server for biology · 2025Article
- Gut Microbiome and Symptom Burden in Obese and Non-Obese Women Receiving Chemotherapy for Breast Cancer.Biological research for nursing · 2025Article
- Identification of polychlorinated biphenyls (PCBs) and PCB metabolites associated with changes in the gut microbiome of female mice exposed to an environmental PCB mixture.Journal of hazardous materials · 2025Article
- Mucosal Microbiome Markers of Complete Pathologic Response to Neoadjuvant Therapy in Rectal Carcinoma.Cancer research communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The human gut is colonized by trillions of bacteria that support physiologic functions such as food metabolism, energy harvesting, and regulation of the immune system. Perturbation of the healthy gut microbiome has been suggested to play a role in the development of inflammatory diseases, including multiple sclerosis (MS). Environmental and genetic factors can influence the composition of the microbiome; therefore, identification of microbial communities linked with a disease phenotype has become the first step towards defining the microbiome's role in health and disease. Use of 16S rRNA metagenomic sequencing for profiling bacterial community has helped in advancing microbiome research. Despite its wide use, there is no uniform protocol for 16S rRNA-based taxonomic profiling analysis. Another limitation is the low resolution of taxonomic assignment due to technical difficulties such as smaller sequencing reads, as well as use of only forward (R1) reads in the final analysis due to low quality of reverse (R2) reads. There is need for a simplified method with high resolution to characterize bacterial diversity in a given biospecimen. Advancements in sequencing technology with the ability to sequence longer reads at high resolution have helped to overcome some of these challenges. Present sequencing technology combined with a publicly available metagenomic analysis pipeline such as R-based Divisive Amplicon Denoising Algorithm-2 (DADA2) has helped advance microbial profiling at high resolution, as DADA2 can assign sequence at the genus and species levels. Described here is a guide for performing bacterial profiling using two-step amplification of the V3-V4 region of the 16S rRNA gene, followed by analysis using freely available analysis tools (i.e., DADA2, Phyloseq, and METAGENassist). It is believed that this simple and complete workflow will serve as an excellent tool for researchers interested in performing microbiome profiling studies.
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Registered trials
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.