ReviewBiophysical journal2018
Rediscovering Bacteria through Single-Molecule Imaging in Living Cells.
Review in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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
12 citing papers in PubMed.
- Review
- Bacterial Transcriptional Regulators: A Road Map for Functional, Structural, and Biophysical Characterization.International journal of molecular sciences · 2022Review
- Single-molecule localisation microscopy: accounting for chance co-localisation between foci in bacterial cells.European biophysics journal : EBJ · 2021Article
- Parameter-free molecular super-structures quantification in single-molecule localization microscopy.The Journal of cell biology · 2021Article
- Biochemistry: one molecule at a time.Essays in biochemistry · 2021Article
- Bacterial Vivisection: How Fluorescence-Based Imaging Techniques Shed a Light on the Inner Workings of Bacteria.Microbiology and molecular biology reviews : MMBR · 2020Review
- Extracting Transition Rates in Particle Tracking Using Analytical Diffusion Distribution Analysis.Biophysical journal · 2020Article
- Article
- From single bacterial cell imaging towardsEssays in biochemistry · 2019Review
- Combining Modules for Versatile and Optimal Labeling of Lactic Acid Bacteria: Two pMV158-Family Promiscuous Replicons, a Pneumococcal System for Constitutive or Inducible Gene Expression, and Two Fluorescent Proteins.Frontiers in microbiology · 2019Article
- ColiCoords: A Python package for the analysis of bacterial fluorescence microscopy data.PloS one · 2019Article
- Understanding Protein Mobility in Bacteria by Tracking Single Molecules.Journal of molecular biology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Bacteria are microorganisms central to health and disease, serving as important model systems for our understanding of molecular mechanisms and for developing new methodologies and vehicles for biotechnology. In the past few years, our understanding of bacterial cell functions has been enhanced substantially by powerful single-molecule imaging techniques. Using single fluorescent molecules as a means of breaking the optical microscopy limit, we can now reach resolutions of ∼20 nm inside single living cells, a spatial domain previously accessible only by electron microscopy. One can follow a single bacterial protein complex as it performs its functions and directly observe intricate cellular structures as they move and reorganize during the cell cycle. This toolbox enables the use of in vivo quantitative biology by counting molecules, characterizing their intracellular location and mobility, and identifying functionally distinct molecular distributions. Crucially, this can all be achieved while imaging large populations of cells, thus offering detailed views of the heterogeneity in bacterial communities. Here, we examine how this new scientific domain was born and discuss examples of applications to bacterial cellular mechanisms as well as emerging trends and applications.
Indexed as
Identifiers
What OpenQuestion holds
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.