Expression profiles of multiple genes in single neurons of Alzheimer’s disease
Open accessAbstract
Many changes have been described in the brains of Alzheimer’s disease (AD) patients, including loss of neurons and formation of senile plaques and neurofibrillary tangles. The molecular mechanisms underlying these pathologies are unclear. Northern blot, dot-blot, and reverse transcription-coupled PCR analyses have demonstrated altered expression levels of multiple messages in AD brain. Because not all cells are equally affected by the disease, these methods obviously cannot study the changes in relation to disease states of individual cells. We address this problem by using antisense RNA profiling of single cells. We present expression profiles of single neurons at early and late stages of AD and describe statistical tools for data analysis. With multivariate canonical analysis, we were able to distinguish the disease state on the basis of altered expression of multiple messages. To validate this approach, we compared results obtained by this approach with results obtained by in situ hybridization analysis. When the neurofilament medium subunit was used as a marker, our results from an antisense RNA profiling revealed no change in neurofilament medium subunit expression between early- and late-stage AD, consistent with findings obtained with in situ hybridization. However, our results obtained by either analysis at the single-cell level differed from the reported decrease in AD neocortex obtained by Northern blot analysis [Kittur, S., Hoh, J., Endo, H., Tourtellotte, W., Weeks, B. S., Markesbery, W. & Adler, W. (1994) J. Geriatr. Psychiatry Neurol. 7, 153–158]. Thus, the strategy of using the single-cell antisense RNA approach to identify altered gene expression in postmortem AD brain, followed by detailed in situ hybridization studies for genes of interest, is valuable in the study of the molecular mechanisms underlying AD neuropathology.
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.
Integrity signals
Registry
Cites
Statistics
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.
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?
The reduced dendritic spine density in Tg2576 mice is consistent with findings in AD and mouse models of AD that showed decreases in mRNA for multiple synaptic genes.
“The reduced dendritic spine density in Tg2576 mice is also consistent with findings in AD and mouse models of AD that showed decreases in mRNA for multiple synaptic genes (Chow et al., 1998;Coleman and Yao, 2003;Dickey et al., 2003).”
From Dendritic Spine Abnormalities in Amyloid Precursor Protein Transgenic Mice Demonstrated by Gene Transfer and Intravital Multiphoton Microscopy (2005) · cites this paper as Chow et al., 1998
The Results report decreased RNA for several genes in late-stage human AD neurons, including GAD. But the other reported decreases are for cyclin D1 and HSP27, not multiple synaptic genes. This paper does not study mouse models; the other citations may address that part of the sentence. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Flagged first, then by citations
Research works printed but not linked: 30
- [1]Glenner G G, Wong C W. Biochem Biophys Res Commun. 1984;120:885–90. doi: 10.1016/s0006-291x(84)80190-4. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [2]Forloni G. Curr Opin Neurol. 1996;9:492–500. doi: 10.1097/00019052-199612000-00017. [DOI] [PubMed] [Google Scholar] · DOI
- [3]Grundke-Iqbal I, Iqbal K, Tung Y C, Quinlan M, Wisniewski H M, Binder L I. Proc Natl Acad Sci USA. 1986;83:4913–4917. doi: 10.1073/pnas.83.13.4913. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [4]Goedert M, Spillantini M G, Cairns N J, Crowther R A. Neuron. 1992;8:159–168. doi: 10.1016/0896-6273(92)90117-v. [DOI] [PubMed] [Google Scholar] · DOI
- [5]Callahan L, Coleman P D. Neurobiol Aging. 1995;16:311–314. doi: 10.1016/0197-4580(95)00035-d. [DOI] [PubMed] [Google Scholar] · DOI
- [6]Callahan L M, Selski D J, Martzen M R, Cheetham J E, Coleman P D. Neurobiol Aging. 1994;15:381–386. doi: 10.1016/0197-4580(94)90041-8. [DOI] [PubMed] [Google Scholar] · DOI
- [7]Eberwine J, Yeh H, Miyashiro K, Cao Y, Nair S, Finnell R, Zettel M, Coleman P. Proc Natl Acad Sci USA. 1992;89:3010–3014. doi: 10.1073/pnas.89.7.3010. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [8]Cheetham J E, Coleman P D, Chow N. J Neurosci Methods. 1997;77:43–48. doi: 10.1016/s0165-0270(97)00109-x. [DOI] [PubMed] [Google Scholar] · DOI
- [9]Crino P B, Trojanowski J Q, Dichter M A, Eberwine J. Proc Natl Acad Sci USA. 1996;93:14152–14157. doi: 10.1073/pnas.93.24.14152. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [10]Wlodarczyk B, Bennett G D, Calvin J A, Craig J C, Finnell R H. Dev Genet. 1996;18:306–315. doi: 10.1002/(SICI)1520-6408(1996)18:4<306::AID-DVG4>3.0.CO;2-D. [DOI] [PubMed] [Google Scholar] · DOI
- [11]Craig J C, Eberwine J H, Calvin J A, Wlodarczyk B, Bennett G D, Finnell R H. Biochem Mol Med. 1997;60:81–91. doi: 10.1006/bmme.1997.2576. [DOI] [PubMed] [Google Scholar] · DOI
- [12]Ghasemzadeh M B, Sharma S, Surmeier D J, Eberwine J H, Chesselet M-F. Mol Pharmacol. 1996;49:852–859. [PubMed] [Google Scholar]
- [13]Crino P B, Eberwine J. Neuron. 1996;17:1173–1187. doi: 10.1016/s0896-6273(00)80248-2. [DOI] [PubMed] [Google Scholar] · DOI
- [15]Kshirsager A M. Multivariate Analysis. New York: Dekker; 1972. [Google Scholar]
- [16]Myers M W, Lazzarini R A, Lee V M, Schlaepfer W W, Nelson D L. EMBO J. 1987;6:1617–1626. doi: 10.1002/j.1460-2075.1987.tb02409.x. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [17]Angerer L M, Angerer R C. Methods Cell Biol. 1991;35:37–71. doi: 10.1016/s0091-679x(08)60568-3. [DOI] [PubMed] [Google Scholar] · DOI
- [18]Lockhart D J, Dong H, Byrne M C, Follettie M T, Gallo M V, Chee M S, Mittmann M, Wang C, Kobayashi M, Horton H, Brown E L. Nat Biotechnol. 1996;14:1675–1680. doi: 10.1038/nbt1296-1675. [DOI] [PubMed] [Google Scholar] · DOI
- [19]Freeman R S, Estus S, Johnson E M., Jr Neuron. 1994;12:343–355. doi: 10.1016/0896-6273(94)90276-3. [DOI] [PubMed] [Google Scholar] · DOI
- [20]Kranenburg O, van der Eb A J, Zantema A. EMBO J. 1996;15:46–54. [PMC free article] [PubMed] [Google Scholar]
- [21]Vincent I, Jicha G, Rosado M, Dickson Q W. J Neurosci. 1997;17:3588–3598. doi: 10.1523/JNEUROSCI.17-10-03588.1997. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [22]Mehlen P, Schulze-Osthoff K, Arrigo A-P. J Biol Chem. 1996;271:16510–16514. doi: 10.1074/jbc.271.28.16510. [DOI] [PubMed] [Google Scholar] · DOI
- [23]Huot J, Houle F, Spitz D R, Landry J. Cancer Res. 1996;56:273–279. [PubMed] [Google Scholar]
- [24]Rogers J, Webster S, Lue L-F, Brachova L, Civin W H, Emmerling M, Shivers B, Walker D, McGeer P. Neurobiol Aging. 1996;17:681–686. doi: 10.1016/0197-4580(96)00115-7. [DOI] [PubMed] [Google Scholar] · DOI
- [25]Lukiw W J, Wong L, McLachlan D R. Int J Neurosci. 1990;55:81–88. doi: 10.3109/00207459008985953. [DOI] [PubMed] [Google Scholar] · DOI
- [26]Robinson C A, Clark A W, Parhad I M, Fung T S, Bou S S. Neurobiol Aging. 1994;15:681–690. doi: 10.1016/0197-4580(94)90049-3. [DOI] [PubMed] [Google Scholar] · DOI
- [27]Kittur S, Hoh J, Endo H, Tourtellotte W, Weeks B S, Markesbery W, Adler W. J Geriatr Psychiatry Neurol. 1994;7:153–158. doi: 10.1177/089198879400700305. [DOI] [PubMed] [Google Scholar] · DOI
- [28]Velculescu V E, Zhang L, Vogelstein B, Kinzler K W. Science. 1995;270:484–487. doi: 10.1126/science.270.5235.484. [DOI] [PubMed] [Google Scholar] · DOI
- [29]Schena M, Shalon Q, Davis R W, Brown P O. Science. 1995;270:467–470. doi: 10.1126/science.270.5235.467. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [30]Zhang L, Zhou W, Velculescu V E, Kern S E, Hruban R H, Hamilton S R, Vogelstein B, Kinzler K W. Science. 1997;276:1268–1272. doi: 10.1126/science.276.5316.1268. [DOI] [PubMed] [Google Scholar] · DOI
- [31]DeRisi J, Penland L, Brown P O, Bittner M L, Meltzer P S, Ray M, Chen Y, Su Y A, Trant J M. Nat Genet. 1996;14:457–460. doi: 10.1038/ng1296-457. [DOI] [PubMed] [Google Scholar] · DOI
Cited by
Sorted by citations
Spires, T. L., Meyer-Luehmann, M., Stern, E. A., McLean, P. J., Skoch, J., Nguyen, P. T., Bacskai, B. J., & Hyman, B. T. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1879-05.2005 · Cited by 550 · see citing works
“The reduced dendritic spine density in Tg2576 mice is also consistent with findings in AD and mouse models of AD that showed decreases in mRNA for multiple synaptic genes (Chow et al., 1998; Coleman and Yao, 2003; Dickey et al., 2003).”
ResultColangelo, V., Schurr, J., Ball, M. J., Pelaez, R. P., Bazan, N. G., & Lukiw, W. J. (2002) · Journal of Neuroscience Research · doi:10.1002/jnr.10351 · Cited by 517 · see citing works
- Authors
- Chow, N., Cox, C., Callahan, L. M., Weimer, J. M., Guo, L., & Coleman, P. D.
- Affiliations
- University of Rochester Medicine (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 1998-08-04
- Volume
- 95
- Issue
- 16
- Pages
- 9620-9625
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC21388
- OpenAlex
- W2084727872
- Cited by
- 86
- References
- 1
- Citations by year
- 2024: 1 · 2019: 2 · 2016: 1 · 2015: 2 · 2014: 2 · 2012: 7
- FWCI
- 4.30
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- American Health Assistance Foundation
- National Institutes of Health (5r35ag009016-07, 5r01ag014441-05)
- National Institute on Aging (AG 08665, AG09016, R01 AG14441, P30AG008665)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, single-cell gene expression profiling, single neurons, disease stage, postmortem brain, amyloid plaques, neurofibrillary tangles, neocortex
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Base Sequence, Female, Hippocampus, Humans, Male, Neurons, Oligonucleotide Probes, RNA, Antisense, In Situ Hybridization
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