ArticleScientific data2019
RNA-Seq profiling in peripheral blood mononuclear cells of amyotrophic lateral sclerosis patients and controls.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 39 citations in OpenAlex.
- Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value.BMC medicine · 2026Review
- cfOncoXpress: Tumor gene expression prediction from cell-free DNA whole-genome sequences.bioRxiv : the preprint server for biology · 2025Article
- Comparative Transcriptomic Profiling in Patients Affected by Duchenne and Becker Muscular Dystrophies: A Focus on ECM Genes Dysregulation.International journal of molecular sciences · 2025Article
- Cross-tissue MiRNA profiling of extracellular vesicles and PBMCs from amyotrophic lateral sclerosis patients.Scientific reports · 2025Article
- Advancements in genetic research and RNA therapy strategies for amyotrophic lateral sclerosis (ALS): current progress and future prospects.Journal of neurology · 2025Review
- Article
- Uncovering functional lncRNAs by scRNA-seq with ELATUS.Nature communications · 2024Article
- Differentially expressed lncRNAs in SOD1Open biology · 2024Article
- Whole blood transcriptome profile identifies motor neurone disease RNA biomarker signatures.Experimental biology and medicine (Maywood, N.J.) · 2024Article
- NeuroVar: an open-source tool for the visualization of gene expression and variation data for biomarkers of neurological diseases.GigaByte (Hong Kong, China) · 2024Article
- Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data.Acta neuropathologica communications · 2023Article
- Impaired ATF3 signaling involves SNAP25 in SOD1 mutant ALS patients.Scientific reports · 2023Article
- Differential Neuropathology, Genetics, and Transcriptomics in Two Kindred Cases with Alzheimer's Disease and Lewy Body Dementia.Biomedicines · 2022Article
- Article
- Extracellular Vesicles Derived From Plasma of Patients With Neurodegenerative Disease Have Common Transcriptomic Profiling.Frontiers in aging neuroscience · 2022Article
- Parkin beyond Parkinson's Disease-A Functional Meaning of Parkin Downregulation in TDP-43 Proteinopathies.Cells · 2021Review
- Detection of SARS-CoV-2 genome and whole transcriptome sequencing in frontal cortex of COVID-19 patients.Brain, behavior, and immunity · 2021Article
- Application of a bioinformatic pipeline to RNA-seq data identifies novel virus-like sequence in human blood.G3 (Bethesda, Md.) · 2021Article
- The Expanding Regulatory Mechanisms and Cellular Functions of Long Non-coding RNAs (lncRNAs) in Neuroinflammation.Molecular neurobiology · 2021Review
- Deregulation of ncRNA in Neurodegenerative Disease: Focus on circRNA, lncRNA and miRNA in Amyotrophic Lateral Sclerosis.Frontiers in genetics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coding and long non-coding RNA (lncRNA) metabolism is now revealing its crucial role in Amyotrophic Lateral Sclerosis (ALS) pathogenesis. In this work, we present a dataset obtained via Illumina RNA-seq analysis on Peripheral Blood Mononuclear Cells (PBMCs) from sporadic and mutated ALS patients (mutations in FUS, TARDBP, SOD1 and VCP genes) and healthy controls. This dataset allows the whole-transcriptome characterization of PBMCs content, both in terms of coding and non-coding RNAs, in order to compare the disease state to the healthy controls, both for sporadic patients and for mutated patients. Our dataset is a starting point for the omni-comprehensive analysis of coding and lncRNAs, from an easy to withdraw, manage and store tissue that shows to be a suitable model for RNA profiling in ALS.
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.