Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleResearch Article: New Research, Development

Fine-Tuning Amyloid Precursor Protein Expression through Nonsense-Mediated mRNA Decay

Maryam Rahmati, Jasmine Chebli, Rakesh Kumar Banote, Sandra Roselli, Lotta Agholme, Henrik Zetterberg and Alexandra Abramsson
eNeuro 24 May 2024, 11 (6) ENEURO.0034-24.2024; https://doi.org/10.1523/ENEURO.0034-24.2024
Maryam Rahmati
1Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 45, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jasmine Chebli
1Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 45, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rakesh Kumar Banote
1Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 45, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sandra Roselli
1Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 45, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lotta Agholme
1Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 45, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Henrik Zetterberg
1Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 45, Sweden
2Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London WC1N #BG, United Kingdom
3Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal 431 41, Sweden
4United Kingdom Dementia Research Institute, London W1T 7NF, United Kingdom
5Hong Kong Center for Neurodegenerative Diseases, 17 Science Park W Ave, Hong Kong, China
6Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53792
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexandra Abramsson
1Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 45, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alexandra Abramsson
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Extended Data
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    appbMO-mediated loss of Mauthner cells in wild type but not appb−/− zebrafish. A, Schematic image of the hindbrain region shown in B–F. B, C, Dorsal view of hindbrain of embryos (anterior to the top) stained with RMO44 antibody at 48 hpf, displaying the large Mauthner cells (MC) in wild type (B) and appb−/− (C). D, E, Wild-type larvae injected with 1 ng splice-blocking appbMO showed two (22%), one (47%, D), or no MC (31%, E). F, two MC were observed in all appb−/− injected with 1 ng splice-blocking appbMO. G, Quantification of the MC number at 48 hpf. G, n = 3 biologically independent samples. “N” indicates number of brains. r3–r5, rhombomeres 3–5. Scale bar, 50 μm. MC, Mauthner cells. Arrows indicate missing Mauthner cells.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Relative gene expression in translation-blocking appbMO and appb−/−. A, Relative expression level of appa, appb, aplp2, and aplp1 (N = 10) in morphants compared with wild type (WT; N = 10) at 24 hpf. B, Western blot analysis of Appb and GAPDH levels in wild type and translation-blocking appbMO at 3 dpf. C, Quantification of Western blot data. D, Relative expression of appa, appb, aplp1, and aplp2 at 24 hpf in genetic appb−/− (N = 14) compared with WT (N = 14). E, Relative expression of appa, appb, aplp1, and aplp2 in adult brain of genetic appb−/− mutants (N = 13) and wild-type siblings (N = 12). Wild-type expression levels were set at 1. Data shown as mean + SD. A–E, n = 3 biologically independent samples. Student's two-tailed t test was used to calculate p values. *p < 0.05, **p < 0.01, ***p < 0.005, and ****p < 0.001. Additional data relating to these analyses are provided in Extended Data Figure 2-1.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Expression of app family genes in embryos injected with unstable or stable appb−/− mRNA. A, Injection of capped appb−/− RNA increases mRNA levels of appb but not mRNA level of appa, aplp1, or aplp2 compared with control eGFP RNA (N = 10–14). B, Injection of uncapped appb−/− RNA increases mRNA levels of appb and appa, compared with uncapped control eGFP RNA (N = 8–15). A, B n = 3 biologically independent samples. Student's two-tailed t test was used to calculate p values. Wild-type expression levels were set to 1. Data shown as mean + SD. **p < 0.01 and ****p < 0.0001. ns, nonsignificant.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    The RNA-less appbP mutation does not induce TA of other App family members. A, Deletion of exon 1 and the 5′ upstream sequence of appb was performed using two gRNAs binding −934 bp 5′ to and 64 bp 3′ of the ATG start, where A is considered as +1. gRNA target sequences are underlined, and PAM sequences are marked in red. B, Western blot analysis of Appb and GAPDH levels in wild type and appbP−/− at 3 dpf. C, Quantification of Western blot data. D, Relative expression levels of appa and appb (and Extended Data Fig. 4-1), aplp1, and aplp2 in appbP−/− (N = 15) and wild-type appbP+/+ siblings (N = 14). Ct values of appb in appbP−/− were above the detection threshold set to 40. E, RMO44 staining in hindbrain of wild-type and appbP−/− mutants at 48 hpf. F, Quantification of MC number in appbMO injected and noninjected wild type (WT) and appbP−/−. “N” indicates number of brains. MC, Mauthner cell. Scale bar, 50 μm. B, D, n = 3 biologically independent samples. F, n = 2–3 biologically independent samples. Wild-type expression levels were set at 1. Data shown as mean + SD. Student's two-tailed t test was used to calculate p values. ***p < 0.005 and ****p < 0.0001. ns, nonsignificant. Additional data relating to these analyses are provided in Extended Data Tables 4-1–4-3.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Expression of app family genes appb−/− and wild-type (WT) embryos after inhibition of NMD or translation and when knocking down of NMD core factors. A–D, Relative mRNA expression levels of appb, appa, aplp1, and aplp2 in appb−/− embryos treated with 0.1% DMSO or 10 μM NMDi14 between 24 and 48 hpf (N = 15) to inhibit nonsense-mediated mRNA decay (A,B) or with or without 15 μg/ml CHX between 24 and 29 hpf (N = 15) to block translation (C,D). E, F, Relative mRNA expression levels of appb, appa, aplp1, and aplp2 in wild-type (WT) embryos treated with 0.1% DMSO or 10 μM NMDi14 between 24 and 48 hpf (N = 15) (E) or with or without 15 μg/ml CHX between 24 and 29 hpf (N = 15) (F). A–F, n = 3 biologically independent samples. Data are shown as mean + SD. Student's two-tailed t test were used to calculate p values. *p < 0.05, **p < 0.01, ***p < 0.005, and ****p < 0.0001. ns, nonsignificant.

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    NMD pathway in appb−/−. A, Illustration of NMD pathway activation in appb−/−. EJC, the exon-junction complex; PTC, premature termination codon. B, Relative appb mRNA expression levels in appb−/− embryos injected with upf1MO (N = 12–15), upf2MO (N = 18–20), or upf3a/upf3bMO (N = 14–15) compared with uninjected appb−/−. n = 3 biologically independent samples. Data shown as mean + SD. Student's two-tailed t test were used to calculate p values. *p < 0.05, **p < 0.01, ***p < 0.005, and ****p < 0.0001. ns, nonsignificant. Additional data relating to these analyses are provided in Extended Data Figure 6-1.

  • Figure 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7.

    Expression of app family genes in wild-type and appb−/− embryos before and after knocking down NMD factors. A–C, Relative mRNA expression levels of appb, appa, aplp1, and aplp2 in uninjected wild-type embryos (N = 12–15), uninjected appb−/− (N = 13–15), wild type injected with upf1MO (N = 12), upf2MO (N = 14), upf3a/upf3bMO (N = 13), and appb−/− injected with upf1MO (N = 11), upf2MO (N = 12), and upf3a/upf3bMO (N = 15). n = 3 biologically independent samples. Data shown as mean + SD. Student's two-tailed t test were used to calculate p values. *p < 0.05, **p < 0.01, ***p < 0.005, and ****p < 0.0001. ns, nonsignificant.

  • Figure 8.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 8.

    Sashimi plots of app family members in wild-type controls and upf1 morpholino injected larvae at 24 hpf. A–D, Splicing of appa (A), appb (B), aplp1 (C), and aplp2 (D) are shown in wild-type controls (black) and upf1 morpholino injected (green) larvae. Numbers indicate number of RNAseq reads and reference gene is outlined in blue. Red star indicates lack of splice junction between exons in appa. Additional data relating to these analyses are provided in Extended Data Figure 8-1 and Extended Data Table 8-1.

  • Figure 9.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 9.

    TA in hNPCs but not in terminally differentiated neuron cells transfected with unstable hAPP695 mRNA. A, Relative APP level in hNPCs transfected with uncapped eGFP (control) or hAPP695 mRNA (N = 9). B, APLP1 and APLP2 levels in hNPCs transfected with uncapped eGFP (control) or hAPP695 mRNA (N = 9). C, Relative APP level in human neuron cells transfected with uncapped eGFP or hAPP695 mRNA (N = 9). D, Relative mRNA level of APLP1 and APLP2 in terminally differentiated neuron cells transfected with uncapped eGFP or hAPP695 mRNA (N = 13). APP in control eGFP transfected cells were set at 1. A–D, n = 3 biologically independent samples. Data are mean + SD. Student's t test was used to calculate p values. *p < 0.05, **p < 0.01, ***p < 0.005, and ****p < 0.0001. ns, nonsignificant.

  • Figure 10.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 10.

    NMD pathway. A, B, Illustration of the mediated mRNA regulation of app family members under physiological conditions (A) and in appb mutants (B).

Extended Data

  • Figures
  • Figure 2-1

    Relative gene expression and protein level in splice blocking appbMO. A, relative expression level of appa, appb, aplp2 and aplp1 (N = 13) in appbMO compared with wildtype (N = 13) at 24 hpf. B, western blot analysis of Appb and GAPDH levels in wildtype and appbMO at 3dpf. E, quantification of western blot data. Wildtype expression levels were set at 1. Data shown as mean + SD. A-C, n = 3 biologically independent samples. Student’s two-tailed t-test was used to calculate P values. P < 0.05 (*), < 0.01 (**), < 0.005 (***) and P < 0.001 (****). Download Figure 2-1, TIF file.

  • Figure 4-1

    Relative expression level of appb in appbP-/- compared to appbP+/+. Relative expression level of appb in appbP-/- at 24hpf (N = 12) and wildtype control (N = 13) with different assays binding different exons on appb. Wildtype mRNA levels were set at 1. n = 3 biological repeats. Data shown as mean + SD. Student’s two-tailed t-test was used to calculate P values. P < 0.001 (****). Download Figure 4-1, TIF file.

  • Table 4-1

    List of gRNAs used to generate the appbP-/- mutant. Commoners denote modifications added to increase in vitro transcription yield by T7 polymerase. Download Table 4-1, XLS file.

  • Table 4-2

    Primers used for genotyping and Sanger sequencing. Download Table 4-2, XLS file.

  • Table 4-3

    Primers used to show the deletion of appb in appbP-/-. Download Table 4-3, XLS file.

  • Figure 6-1

    Validation of morpholino knockdown of upf3b. A, the upf3bMO was designed to block the splicing region of exon3-intron3 of upf3b. PCR was performed with forward primer (FwdP) and reverse primer (RevP) to show the efficiency of injection of 1  ng upf3bMO. B, DNA fragment of 1233  bp contains 34  bp of exon 3, 336  bp of exon 4, 5, 6 and a part of exon 7 and the whole intron 3 of upf3b. Download Figure 6-1, TIF file.

  • Figure 8-1

    Outline of the gene assembly of the appa gene on Chromosome 1. The appa gene assembly in Ensembl (A), Refseq (B) and our manually assembled (C) adding contig LKPD02013461.1 to a region with di-nucleotide repeats in contig FP067437.2. The inclusion of this sequence is supported by contig JALCZS010004005.1 which cover flanking regions. Numbers and dotted lines indicated positions on chromosome 1. Download Figure 8-1, TIF file.

  • Table 8-1

    PSI-sigma data. Splice events in wildtype controls and upf1MO injected larvae at 24hpf. Download Table 8-1, XLS file.

Back to top

In this issue

eneuro: 11 (6)
eNeuro
Vol. 11, Issue 6
June 2024
  • Table of Contents
  • Index by author
  • Masthead (PDF)
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Fine-Tuning Amyloid Precursor Protein Expression through Nonsense-Mediated mRNA Decay
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Fine-Tuning Amyloid Precursor Protein Expression through Nonsense-Mediated mRNA Decay
Maryam Rahmati, Jasmine Chebli, Rakesh Kumar Banote, Sandra Roselli, Lotta Agholme, Henrik Zetterberg, Alexandra Abramsson
eNeuro 24 May 2024, 11 (6) ENEURO.0034-24.2024; DOI: 10.1523/ENEURO.0034-24.2024

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Fine-Tuning Amyloid Precursor Protein Expression through Nonsense-Mediated mRNA Decay
Maryam Rahmati, Jasmine Chebli, Rakesh Kumar Banote, Sandra Roselli, Lotta Agholme, Henrik Zetterberg, Alexandra Abramsson
eNeuro 24 May 2024, 11 (6) ENEURO.0034-24.2024; DOI: 10.1523/ENEURO.0034-24.2024
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
    • Synthesis
    • Author Response
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • amyloid precursor protein
  • mutant
  • NMD
  • transcriptional adaptation
  • Upf1
  • zebrafish

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Research Article: New Research

  • Neck Vascular Biomechanical Dysfunction Precedes Brain Biochemical Alterations in a Murine Model of Alzheimer’s Disease
  • Alpha-2 Adrenergic Agonists Reduce Heavy Alcohol Drinking and Improve Cognitive Performance in Mice
  • Spontaneous oscillatory activity in episodic timing: an EEG replication study and its limitations
Show more Research Article: New Research

Development

  • Absence of testes at puberty impacts functional development of nigrostriatal but not mesoaccumbal dopamine terminals in a wild-derived mouse
  • Anxiety-Associated Behaviors Following Ablation of Miro1 from Cortical Excitatory Neurons
  • Nicotinic Modulation of Fast-Spiking Neurons in Rat Somatosensory Cortex across Development
Show more Development

Subjects

  • Development
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2026 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.