CoChat
Sign Up
Cited by 142

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Serum microRNA miR-501-3p as a potential biomarker related to the progression of Alzheimer’s disease

Hara, Norikazu, Kikuchi, Masataka, Miyashita, Akinori, Hatsuta, Hiroyuki, Saito, Yuko, Kasuga, Kensaku, Murayama, Shigeo, Ikeuchi, Takeshi, Kuwano, Ryozo·2017·Acta Neuropathologica Communications
DOI 10.1186/s40478-017-0414-zPMC PMC5282710
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s40478-017-0414-z

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 43

  1. Absalon S, Kochanek DM, Raghavan V, Krichevsky AM (2013) MiR-26b, upregulated in Alzheimer’s disease, activates cell cycle entry, tau-phosphorylation, and apoptosis in postmitotic neurons. J Neurosci 33:14645–59 · DOI · Paper page
  2. Agarwal V, Bell GW, Nam JW, Bartel DP (2015) Predicting effective microRNA target sites in mammalian mRNAs. Elife 4:e05005 · DOI · Paper page
  3. Banzhaf-Strathmann J, Benito E, May S, Arzberger T, Tahirovic S, Kretzschmar H et al (2014) MicroRNA-125b induces tau hyperphosphorylation and cognitive deficits in Alzheimer’s disease. EMBO J 33:1667–80 · DOI · Paper page
  4. Bartel DP (2004) MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116:281–97 · DOI
  5. Bartel DP (2009) MicroRNAs: target recognition and regulatory functions. Cell 136:215–33 · DOI · Paper page
  6. Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Statist Soc B 57:289–300 · DOI · Paper page
  7. Bonda DJ, Lee HP, Kudo W, Zhu X, Smith MA, Lee HG (2010) Pathological implications of cell cycle re-entry in Alzheimer disease. Expert Rev Mol Med 12:e19 · DOI
  8. Cheng L, Doecke JD, Sharples RA, Villemagne VL, Fowler CJ, Rembach A et al (2015) Prognostic serum miRNA biomarkers associated with Alzheimer’s disease shows concordance with neuropsychological and neuroimaging assessment. Mol Psychiatry 20:1188–96 · DOI · Paper page
  9. Crossland RE, Norden J, Bibby LA, Davis J, Dickinson AM (2016) Evaluation of optimal extracellular vesicle small RNA isolation and qRT-PCR normalisation for serum and urine. J Immunol Methods 429:39–49 · DOI
  10. Cummings JL (2011) Biomarkers in Alzheimer’s disease drug development. Alzheimers Dement 7:e13–44 · DOI
  11. da Huang W, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4:44–57 · DOI · Paper page
  12. da Huang W, Sherman BT, Lempicki RA (2009) Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res 37:1–13 · DOI · Paper page
  13. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S et al (2013) STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29:15–21 · DOI · Paper page
  14. Frade JM, Ovejero-Benito MC (2015) Neuronal cell cycle: the neuron itself and its circumstances. Cell Cycle 14:712–20 · DOI
  15. Geekiyanage H, Chan C (2011) MicroRNA-137/181c regulates serine palmitoyltransferase and in turn amyloid β, novel targets in sporadic Alzheimer’s disease. J Neurosci 31:14820–30 · DOI · Paper page
  16. Geekiyanage H, Jicha GA, Nelson PT, Chan C (2012) Blood serum miRNA: noninvasive biomarkers for Alzheimer’s disease. Exp Neurol 235:491–6 · DOI
  17. Hébert SS, Horré K, Nicolaï L, Papadopoulou AS, Mandemakers W, Silahtaroglu AN et al (2008) Loss of microRNA cluster miR-29a/b-1 in sporadic Alzheimer’s disease correlates with increased BACE1/beta-secretase expression. Proc Natl Acad Sci U S A 105:6415–20 · DOI · Paper page
  18. Henriksen K, O’Bryant SE, Hampel H, Trojanowski JQ, Montine TJ, Jeromin A et al (2014) The future of blood-based biomarkers for Alzheimer’s disease. Alzheimers Dement 10:115–31 · DOI
  19. Hu Z, Zhao J, Hu T, Luo Y, Zhu J, Li Z (2015) miR-501-3p mediates the activity-dependent regulation of the expression of AMPA receptor subunit GluA1. J Cell Biol 208:949–59 · DOI
  20. Kirschner MB, Kao SC, Edelman JJ, Armstrong NJ, Vallely MP, van Zandwijk N et al (2011) Haemolysis during sample preparation alters microRNA content of plasma. PLoS One 6:e24145 · DOI · Paper page
  21. Kozomara A, Griffiths-Jones S (2014) miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Res 42:D68–73 · DOI · Paper page
  22. Kruman II, Wersto RP, Cardozo-Pelaez F, Smilenov L, Chan SL, Chrest FJ et al (2004) Cell cycle activation linked to neuronal cell death initiated by DNA damage. Neuron 41:549–61 · DOI
  23. Kumar P, Dezso Z, MacKenzie C, Oestreicher J, Agoulnik S, Byrne M et al (2013) Circulating miRNA biomarkers for Alzheimer’s disease. PLoS One 8:e69807 · DOI
  24. Kuwano R, Miyashita A, Arai H, Asada T, Imagawa M, Shoji M et al (2006) Dynamin-binding protein gene on chromosome 10q is associated with late-onset Alzheimer’s disease. Hum Mol Genet 15:2170–82 · DOI
  25. Langmead B, Trapnell C, Pop M, Salzberg SL (2009) Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10:R25 · DOI · Paper page
  26. Lau P, Bossers K, Janky R, Salta E, Frigerio CS, Barbash S et al (2013) Alteration of the microRNA network during the progression of Alzheimer’s disease. EMBO Mol Med 5:1613–34 · DOI · Paper page
  27. Leidinger P, Backes C, Deutscher S, Schmitt K, Mueller SC, Frese K et al (2013) A blood based 12-miRNA signature of Alzheimer disease patients. Genome Biol 14:R78 · DOI
  28. Li Y, Kowdley KV (2012) Method for microRNA isolation from clinical serum samples. Anal Biochem 431:69–75 · DOI
  29. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) Method. Methods 25:402–8 · DOI · Paper page
  30. Love MI, Huber W, Anders S (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15:550 · DOI · Paper page
  31. Lugli G, Cohen AM, Bennett DA, Shah RC, Fields CJ, Hernandez AG et al (2015) Plasma exosomal miRNAs in persons with and without Alzheimer disease: Altered expression and prospects for biomarkers. PLoS One 10:e0139233 · DOI · Paper page
  32. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM (1984) Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 34:939–44 · DOI · Paper page
  33. Mitchell PS, Parkin RK, Kroh EM, Fritz BR, Wyman SK, Pogosova-Agadjanyan EL et al (2008) Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci U S A 105:10513–18 · DOI · Paper page
  34. Murayama S, Saito Y (2004) Neuropathological diagnostic criteria for Alzheimer’s disease. Neuropathology 24:254–60 · DOI
  35. Nunez-Iglesias J, Liu CC, Morgan TE, Finch CE, Zhou XJ (2010) Joint genome-wide profiling of miRNA and mRNA expression in Alzheimer’s disease cortex reveals altered miRNA regulation. PLoS One 5:e8898 · DOI
  36. Sheinerman KS, Tsivinsky VG, Abdullah L, Crawford F, Umansky SR (2013) Plasma microRNA biomarkers for detection of mild cognitive impairment: biomarker validation study. Aging (Albany NY) 5:925–38 · DOI
  37. Smith PY, Hernandez-Rapp J, Jolivette F, Lecours C, Bisht K, Goupil C et al (2015) miR-132/212 deficiency impairs tau metabolism and promotes pathological aggregation in vivo. Hum Mol Genet 24:6721–35 · DOI · Paper page
  38. Swerdlow RH (2012) Alzheimer’s disease pathologic cascades: who comes first, what drives what. Neurotox Res 22:182–94 · DOI
  39. Tan L, Yu JT, Tan MS, Liu QY, Wang HF, Zhang W et al (2014) Genome-wide serum microRNA expression profiling identifies serum biomarkers for Alzheimer’s disease. J Alzheimers Dis 40:1017–27 · DOI
  40. Wang WX, Rajeev BW, Stromberg AJ, Ren N, Tang G, Huang Q et al (2008) The expression of microRNA miR-107 decreases early in Alzheimer’s disease and may accelerate disease progression through regulation of beta-site amyloid precursor protein-cleaving enzyme 1. J Neurosci 28:1213–23 · DOI · Paper page
  41. Wang K, Yuan Y, Cho JH, McClarty S, Baxter D, Galas DJ (2012) Comparing the MicroRNA spectrum between serum and plasma. PLoS One 7:e41561 · DOI
  42. Wong HK, Veremeyko T, Patel N, Lemere CA, Walsh DM, Esau C et al (2013) De-repression of FOXO3a death axis by microRNA-132 and −212 causes neuronal apoptosis in Alzheimer’s disease. Hum Mol Genet 22:3077–92 · DOI · Paper page
  43. Zanutto S, Pizzamiglio S, Ghilotti M, Bertan C, Ravagnani F, Perrone F et al (2014) Circulating miR-378 in plasma: a reliable, haemolysis-independent biomarker for colorectal cancer. Br J Cancer 110:1001–7 · DOI

Cited by

Sorted by citations

Metadata

Authors
Hara, N., Kikuchi, M., Miyashita, A., Hatsuta, H., Saito, Y., Kasuga, K., Murayama, S., Ikeuchi, T., & Kuwano, R.
Venue
Acta Neuropathologica Communications
Publisher
Springer Science and Business Media LLC
Published
2017-01-31
Volume
5
Issue
1
ISSN
2051-5960
DOI
10.1186/s40478-017-0414-z
PMC
PMC5282710
Cited by
142
References
6
Language
en
Licence
Funders
  • New Energy and Industrial Technology Development Organization (P12009)
  • Ministry of Education, Culture, Sports, Science, and Technology (24700371, 221S003)
  • National Center for Geriatrics and Gerontology (23–42)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review