Age-dependent deterioration of nuclear pore assembly in mitotic cells decreases transport dynamics

  1. Irina L Rempel
  2. Matthew M Crane
  3. David J Thaller
  4. Ankur Mishra
  5. Daniel PM Jansen
  6. Georges Janssens
  7. Petra Popken
  8. Arman Akşit
  9. Matt Kaeberlein
  10. Erik van der Giessen
  11. Anton Steen
  12. Patrick R Onck
  13. C Patrick Lusk
  14. Liesbeth M Veenhoff  Is a corresponding author
  1. University of Groningen, University Medical Center Groningen, Netherlands
  2. University of Washington, United States
  3. Yale School of Medicine, United States
  4. University of Groningen, Netherlands
6 figures, 4 tables and 1 additional file

Figures

Figure 1 with 3 supplements
The cellular abundance of some NPC components changes in replicative aging.

(a) Cartoon representation of the NPC illustrates different structural regions of the NPC, all FG-Nups are shown in green independently of their localization, the membrane rings in light brown, the …

https://doi.org/10.7554/eLife.48186.002
Figure 1—figure supplement 1
Cellular protein and mRNA abundance of Nups, NTRs and assembly factors in replicative aging.

(a) mRNA abundance of NPC components in replicative aging; a zoom-in of Figure 1A. Changes in abundance are plotted as fold change. Replicative age increases in time. Transcriptome data from Janssens…

https://doi.org/10.7554/eLife.48186.003
Figure 1—figure supplement 2
The abundance and localization of NPC components in replicative aging.

(a) The experimental timeline where young cells are trapped in the microfluidic device and bright-field images are taken every 20 min to define the cell’s age and fluorescent images are taken once …

https://doi.org/10.7554/eLife.48186.004
Figure 1—figure supplement 3
Models of NPCs with altered stoichiometry.

(a) The time averaged radial density distribution of the 24 constructed models (gray) (see Table 1) based on the FG-Nup abundance data from Figure 1c with the average of the 24 models plotted in …

https://doi.org/10.7554/eLife.48186.005
Figure 2 with 2 supplements
Mitotic aging is associated with problems in NPC assembly rather than oxidative damage.

(a) Time-averaged radial density distribution of FG-Nups for different positions along the z-axis separated by 1 nm, in the range −15.4 < z < 15.4 nm, plotted for the wild type (black), the …

https://doi.org/10.7554/eLife.48186.006
Figure 2—figure supplement 1
In vitro oxidation and models of NPCs with oxidative damage.

(a) Anti-GFP western blot of Nsp1-GFP immunoprecipitated from extracts of exponentially growing BY4741 cell expressing Nsp1-GFP from the native promoter and treated without or with 1 mM menadione …

https://doi.org/10.7554/eLife.48186.007
Figure 2—figure supplement 2
Heh2-GFP and Apq12-GFP abundance at the NE as a function of remaining lifespan.

Additional independent replicates (coming from a different microscope) for Apq12-GFP and Heh2-GFP abundance at the NE, relative to Nup49-mCh, as a function of remaining lifespan. The dotted lines …

https://doi.org/10.7554/eLife.48186.008
NE herniations are more prevalent in aged cells.

(a) Examples of NE herniations found in replicatively aged cells. NPCs are indicated by an arrowhead, asterisks indicate herniation lumens and the nucleus is marked with N. Scale bars are 200 nm. (b)…

https://doi.org/10.7554/eLife.48186.009
Figure 4 with 4 supplements
Increased steady state nuclear compartmentalization in aging is mimicked in NPC assembly mutants.

(a) Heatmaps showing single-cell changes in localization (N/C ratios) of GFP (N = 49), GFP-NES (N = 75) and GFP-NLS (N = 66) reporter proteins during replicative aging. (b) N/C ratios of GFP-tcNLS, …

https://doi.org/10.7554/eLife.48186.010
Figure 4—figure supplement 1
Efflux rate constants in aging.

(a), (b) Singe-cell measurements of the kinetics of loss of nuclear accumulation of GFP-NLS from young cell and cell with median replicative age 8. Time zero is the time point at which the red …

https://doi.org/10.7554/eLife.48186.011
Figure 4—figure supplement 2
The abundance of transport factors and NTR cargos does not change in aging.

(a) Protein abundance of Crm1, Kap95, Kap60, Kap104 and Kap121 as measured in whole cell extracts of yeast cells of increasing replicative age. Data from Janssens et al. (2015). (b) (c) Localization …

https://doi.org/10.7554/eLife.48186.012
Figure 4—figure supplement 3
Replicative lifespan curves.

Replicative lifespan curves of strains expressing reporter proteins, in comparison to BY4741; all grown on medium supplemented with raffinose and galactose. The overexpression of GFP alone did not …

https://doi.org/10.7554/eLife.48186.013
Figure 4—figure supplement 4
Apq12 is an essential gene in BY4741, but not in W303.

(a) PCR analysis of apq12 mutants confirming the genotype of the heterozygous diploid BY4743 apq12Δ/APQ12 and the haploid W303 apq12Δ. Strains were generated using the PCR toolbox (Janke et al., 2004

https://doi.org/10.7554/eLife.48186.014
Figure 5 with 1 supplement
Alterations of nuclear envelope permeability during aging affects transcription factor dynamics.

(a) Schematic showing pulses of Msn2 translocation to the nucleus and movement back to the cytoplasm. (b) Five randomly selected single cell traces showing Msn2 dynamics. Low values indicate the …

https://doi.org/10.7554/eLife.48186.015
Figure 5—figure supplement 1
Msn2 pulse prominence and width correlate to remaining lifespan.

(a) The Msn2 pulse prominence is positively correlated with remaining lifespan. (b) The remaining lifespan is negatively correlated with increasing Msn2 pulse width. N value cells = 48, N value for …

https://doi.org/10.7554/eLife.48186.016
Graphical summary.

(a) Summary of the measured changes. (b) Schematic representation of NPC assembly and nuclear transport dynamics in young cells. (c) Model: In old cells, the decrease in abundance of several …

https://doi.org/10.7554/eLife.48186.017

Tables

Table 1
Details of the FG-Nup stoichiometry for the 24 constructed models to represent the aged NPC. 0 and 1 represent absence and presence, respectively, of the FG-Nup in 8-fold symmetry.
https://doi.org/10.7554/eLife.48186.018
NSP1NSP1NSP1NSP1Nup1Nup42Nup49Nup49Nup57Nup57Nup60Nup100Nup145Nup145Nup159Nup116
Model 10011111111111110
Model 20011111111101110
Model 30011111111011110
Model 40011111111001110
Model 50011011111111110
Model 60011011111101110
Model 70011011111011110
Model 80011011111001110
Model 90010110101111110
Model 100010110101101110
Model 110010110101011110
Model 120010110101001110
Model 130010010101111110
Model 140010010101101110
Model 150010010101011110
Model 160010010101001110
Model 170001111010111110
Model 180001111010101110
Model 190001111010011110
Model 200001111010001110
Model 210001011010111110
Model 220001011010101110
Model 230001011010011110
Model 240001011010001110
Table 2
Force field parameters for carbonylated amino acids.

Here, εGhavami and εnative represent the hydrophobicity of amino acids in their native condition according to Ghavami et al. (2014) and the weighted average scheme, respectively. εcarbonylated denotes the hydrophobicity …

https://doi.org/10.7554/eLife.48186.019
AA

εGhavami

εnative

εcarbonylated

qnative to carbonylated

T0.510.520.340 −>0
K0.000.000.591 −>0
P0.650.630.430 −>0
R0.000.070.431 −>0
Table 3
Physical properties of the wild type, carbonylated and carbonylated_HP NPCs.

In the carbonylated_HP NPC only the effect of carbonylation on the hydrophobicity is accounted for. For the net hydrophobicity, we added the hydrophobicity values ε of all the residues inside the NPC.

https://doi.org/10.7554/eLife.48186.020
Force field+ve Charged AA-ve Charged AANet chargeNet hydrophobicity
Wild type80727560+51243373.7
Carbonylated07560−756045549.7
Carbonylated_HP80727560+51245549.7
Table 4
Strains and plasmids
https://doi.org/10.7554/eLife.48186.021
Yeast strainsSource
BY4741 yeast (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0)Invitrogen
BY4742 yeast (MATα his3Δ1 leu2Δ0 lys2Δ0 ura3Δ0)Invitrogen
Apq12Δ; Y01433 (MATa; ura3Δ0; leu2Δ0; his3Δ1; met15Δ0; YIL040w::kanMX4)This study
W303 Apq12Δ apq12::hphNTI leu2-3,112 trp1-1 can1-100 ura3-1 ade2-1 his3-11,15This study
Nup116-GFPboundary MKY227 (W303, ADE2+)Mattheyses et al., 2010
Nup116-GFPboundary BY4741This study
Apq12-GFP yeast (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Apq12-GFP::His3M × 6)ThermoFisher
(Huh et al., 2003)
Nup2-GFP yeast (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Nup2-GFP::His3M × 6)ThermoFisher
Nup49-GFP yeast (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Nup49-GFP::His3M × 6)ThermoFisher
Nup100-GFP yeast (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Nup100-GFP::His3M × 6)ThermoFisher
Nup133-GFP yeast (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Nup133-GFP::His3M × 6)ThermoFisher
Heh2-GFP yeast (MATa his3 leu2 met15 ura3Δ0 Heh2-GFP::His3M × 6)ThermoFisher
Srm1-GFP yeast (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Srm1-GFP::His3M × 6)ThermoFisher
Kap95-GFP yeast (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Kap95-GFP::His3M × 6)ThermoFisher
Crm1-GFP yeast (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Crm1-GFP::His3M × 6)ThermoFisher
Msn2-GFP yeast (MATa his3 leu2 met15 ura3Δ0 Msn2-GFP::His3M × 6)ThermoFisher
JTY7; Nup49-mCh (MATα Nup49-mCh::CaURA3 can1Δ::STE2pr-LEU2 ura3Δ0 lyp1Δ leu2Δ0 his3Δ1 met15Δ0)Tkach et al., 2012
yIS010; Nup2-GFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Nup2-GFP::His3M × 6 Nup49-mCh::URA)This study
yIS011; Nup100-GFP Nup49-mCh (MATa his3Δ1 leu2Δ0
met15Δ0 ura3Δ0 Nup100-GFP::Hi3M × 6 s Nup49-mCh::URA)
This study
yIS012; Nup116-GFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Nup116-GFPboundary Nup49-mCh::URA)This study
yIS013; Nup133-GFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Nup133-GFP::His Nup49-mCh::URA)This study
yIS014; Nup49-GFP Nup133-mCh (MATa his3Δ1 leu2Δ0
met15Δ0 ura3Δ0 Nup49-GFP::His3M × 6 Nup133-mCh::URA)
This study
yIS018; Apq12-GFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Apq12-GFP::His3M × 6 Nup49-mCh::URA)This study
yIS021; Srm1-GFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Srm1-GFP::His3M × 6 Nup49-mCh::URA)This study
yIS022; Kap95-GFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Kap95-GFP::His3M × 6 Nup49-mCh::URA)This study
yIS023; Crm1-GFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Crm1-GFP::His3M × 6 Nup49-mCh::URA)This study
yIS027; Apq12Δ Nup49-mCh GFP-NLS (MATa; ura3Δ0; leu2Δ0; his3Δ1; met15Δ0; YIL040wΔ::kanMX4; GFP-tcNLS(pGal1)::His Nup49-mCH::URA)This study
yIS028; Apq12Δ Nup49-mCh GFP-NES (MATa; ura3Δ0; leu2Δ0; his3Δ1; met15Δ0; YIL040wΔ::kanMX4; GFP-NES(pGal1)::His Nup49-mCH::URA)This study
yIS032; Chm7-yeGFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Chm7-yeGFP::His Nup49-mCh::URA)This study
yIS035; Heh2-GFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 Heh2-GFP::His3M × 6 Nup49-mCh::URA)This study
yPP008; GFP-tcNLS Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 GFP-tcNLS(pGal1)::His Nup49-mCh::URA)This study
yPP009; GFP Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 GFP(pGal1)::His Nup49-mCh::URA)This study
yPP011; GFP-NES Nup49-mCh (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0 GFP-NES(pGal1)::His Nup49-mCh::URA)This study
yAA001; Nab2NLS-GFP Nup49-mCh (MATα Nup49-mCh::CaURA3 can1Δ::STE2pr-LEU2 ura3Δ0 lyp1Δ leu2Δ0 his3Δ1:: Nab2NLS(pTpi1)::His met15Δ0)This study
yAA002; Pho4NLS-GFP Nup49-mCh (MATα Nup49-mCh::CaURA3 can1Δ::STE2pr-LEU2 ura3Δ0 lyp1Δ leu2Δ0 his3Δ1::
Pho4NLS(pTpi1)::His met15Δ0)
This study
Oligonucleotides
Chm7-GFP-S3 fw (GAAAACCACGATAATGAGATAAGAAAAATCATGATGGAAGAACAACCACGTCGTACGCTGCAGGTCGAC)This study
Chm7-GFP-S2 rv (CATATTTATTTTTTATTTATACATATATATTTATTTATTAGTCACTCAGTTCGATCGATGAATTCGAGCTCG)This study
Plasmids
Plasmid: pYM44 yeGFP-tagJanke et al., 2004
Plasmid: pYM28 EGFP-tagJanke et al., 2004
Plasmid: pNZ-h2NLS-L-GFP (ID-GFP)Meinema et al., 2011
Plasmid: pBT016 pYX242-NAB2NLS-GFP-PRATimney et al., 2006
Plasmid: pBT018 pYX242-PHO4NLS-GFP-PRATimney et al., 2006
Plasmid: pPP014 mCh-Ura-CassetteThis study
Plasmid: pPP042 pRS303-GFP-tcNLSThis study
Plasmid: pPP043 pRS303-GFPThis study
Plasmid: pPP046 pRS303-GFP-NESThis study
Plasmid: pAA8 pRS303-Nab2NLS-GFPThis study
Plasmid: pAA9 pRS303-Pho4NLS-GFPThis study

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