ArticleeLife2017
Selecting the most appropriate time points to profile in high-throughput studies.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
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- The immune response of upper and lower airway epithelial cells to Aspergillus fumigatus and Candida albicans-derived β-glucan in Th17 type cytokine environment.Archives of microbiology · 2025Article
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- scSemiProfiler: Advancing large-scale single-cell studies through semi-profiling with deep generative models and active learning.Nature communications · 2024Article
- Next-generation sequencing reveals altered gene expression and enriched pathways in triple-negative breast cancer cells treated with oleuropein and oleocanthal.Functional & integrative genomics · 2023Article
- Understanding the dynamics of inflammatory mediators in response to mind-body movement therapies (MBMTs): A systematic review and meta-analysis of studies in healthy subjects.Brain behavior and immunity integrative · 2023Article
- Adding gene transcripts into genomic prediction improves accuracy and reveals sampling time dependence.G3 (Bethesda, Md.) · 2022Article
- Temporal modelling using single-cell transcriptomics.Nature reviews. Genetics · 2022Review
- Computational tools for analyzing single-cell data in pluripotent cell differentiation studies.Cell reports methods · 2021Review
- Optimal experimental design for mathematical models of haematopoiesis.Journal of the Royal Society, Interface · 2021Article
- Timepoint Selection Strategy for In Vivo Proteome Dynamics from Heavy Water Metabolic Labeling and LC-MS.Journal of proteome research · 2020Article
- Reconstructed Single-Cell Fate Trajectories Define Lineage Plasticity Windows during Differentiation of Human PSC-Derived Distal Lung Progenitors.Cell stem cell · 2020Article
- Lag penalized weighted correlation for time series clustering.BMC bioinformatics · 2020Article
- Integrating multiomics longitudinal data to reconstruct networks underlying lung development.American journal of physiology. Lung cellular and molecular physiology · 2019Article
- Heterogeneity and plasticity in healthy and atherosclerotic vasculature explored by single-cell sequencing.Cardiovascular research · 2019Review
- Use cases, best practice and reporting standards for metabolomics in regulatory toxicology.Nature communications · 2019Review
- NITPicker: selecting time points for follow-up experiments.BMC bioinformatics · 2019Article
- Data science for the scientific life cycle.eLife · 2019Article
- LungMAP: The Molecular Atlas of Lung Development Program.American journal of physiology. Lung cellular and molecular physiology · 2017Review
- Connecting the dots across time: reconstruction of single-cell signalling trajectories using time-stamped data.Royal Society open science · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Biological systems are increasingly being studied by high throughput profiling of molecular data over time. Determining the set of time points to sample in studies that profile several different types of molecular data is still challenging. Here we present the Time Point Selection (
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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.