An altered cell-specific subcellular distribution of translesion synthesis DNA polymerase kappa (POLK) in aging mouse neurons

  1. Mofida Abdelmageed
  2. Premkumar Palanisamy
  3. Victoria Vernail
  4. Yuval Silberman
  5. Shilpi Paul
  6. Anirban Paul  Is a corresponding author
  1. Neuroscience and Experimental Therapeutics, Penn State Milton S. Hershey Medical Center, United States
7 figures, 9 tables and 1 additional file

Figures

Figure 1 with 1 supplement
POLK subcellular expression changes with increasing age, across multiple cortical regions.

(A1) Validation of anti-POLK antibody (sc-166667) by immunofluorescence on mouse primary cortical neuronal cultures treated with Polk siRNA (top row) showing a marked reduction in nuclear POLK levels after 48 hr, compared to scrambled siRNA control (bottom row). (A2) Western blot of mouse primary cortical neuronal culture treated with siPOLK whole cell lysate immunostained with sc-166667 HRP anti-POLK (HRP conjugated) antibody showing ~20% reduction in POLK protein levels compared to siControl. (B) Quantitation of 120 and 99 kDa POLK bands from western blot using sc-166667 HRP antibody shows a decreasing trend of nuclear POLK levels with progressive age from unsorted cells of the whole mouse cortex. Full blot shown in Figure 1—figure supplement 1C. (C) Experimental design to longitudinally compare POLK cellular localization in mice brains. (D) Immunofluorescence (IF) followed by imaging and analysis using Cell Profiler of mouse brain sections. Visualization of POLK speckles (green) expression using immunohistochemistry in cells labeled by fluorescent-nissl (red) from wild-type mouse brain aged 1 and 18 months. Subcellular compartments were segmented and POLK was detected and measured separately inside the nucleus and in the cytoplasm. (E) Representative low (×20) and high magnification (×63) images of Polk expression using IF from Cg1, M1, M2, and S1 cortical regions in ages 1 month (N = 3), 10 months (N = 2), and 18 months (N = 3). POLK (green) and Nissl depicting all cells (purple) (scale bar = 10 µm). (F) Boxplot showing nuclear and cytoplasmic POLK counts per unit area for each brain region in (C) grouped by age. n denotes the numbers of cells measured per time points under each boxplot. (G) Means plots with 95% confidence intervals showing the nuclear POLK speckle count and size decreasing with increasing age in Cg1, M1, M2, and S1 cortical areas. (H) Means plots with 95% confidence intervals show the cytoplasmic POLK granule count decreasing with a concomitant increase in size with age in Cg1, M1, M2, and S1 cortical areas.

Figure 1—figure supplement 1
Supplement to POLK subcellular expression changes with increasing age, across multiple cortical regions.

(A) Protein sequence alignment of mouse and human POLK, with the 133–310 amino acid epitope for sc-166667 anti-POLK antibody showing complete homology between species. (B) qPCR of Polk transcript shows a 35% reduction upon siRNA against Polk but not scrambled control siRNA. Polh mRNA levels were not affected by siRNA against Polk. (C) Western blot immunostained with SC-166667 antiPOLK-HRP antibody of whole cell lysates of two biological replicates of mouse primary cortical neurons treated with four individual shPOLK lentivirus, shows a decrease in 99 and 120 kDa POLK bands upon treatment with shPOLK#C. (D) Western blot immunostained with SC-166667 antiPOLK-HRP antibody of whole cell lysates of two biological replicates of mouse Neuro-2A cells treated with either siPOLK or shPOLK lentivirus, showed a decrease in 99 kDa POLK band. (E) Western blot immunostained with SC-166667 antiPOLK-HRP antibody of whole cell lysates of three biological replicates of mouse 4T1 cells treated with siPOLK showed a decrease in 99 and 120 kDa POLK bands. (F) Immunofluorescence staining of wild-type 18-month-old mouse, from brain cortical area S1 shows a similar pattern and distribution of POLK nuclear speckles (arrowheads) and cytoplasmic granules (arrows) using sc-166667 and A12052. The bottom row is a crop of the boxed area in the corresponding top image. (G) Full western blot showing all six replicates nucleus and cytoplasmic fractions from 7- and 22-month-old whole brain unsorted cells. Quantitation of the 99 kDa POLK band did not show an increase, possibly due to inability to extract POLK associated with lysosomal and stress granules (as observed in Figure 3). (H) Representative low (×20) and high magnification (×63) images of REV1 and POLI expression using IF from S1 and M1 cortical regions in ages 1, 10, and 18 months. REV1 (green) and Nissl depicting all cells (purple) (scale bar = 10 µm in ×20 image). Arrowheads point to nuclear speckles and arrows indicate cytoplasmic granules. Wild-type mouse brain cortical areas S1 and M1 show REV1 and POLI punctate nuclear expression resembling speckles and progressive cytoplasmic accumulation with age at 10 and 18 months.

Figure 2 with 1 supplement
Colocalization and coexpression of POLK with DNA damage marker proteins in POLK nuclear speckles.

(A) Experimental design to longitudinally compare POLK colocalization with various DNA damage markers in three age group mice brains. Asterisks denote markers that were studied in three age groups; the rest were evaluated in middle age only. (B) Schematic of cell class gating logic, registration, subcellular segmentation, POLK speckle detection, measurement of POLK counts, and POLK and DNA damage markers/repair protein intensities. (C1) Representative images showing colocalization of gH2AX and channel separation of POLK, gH2AX, and POLK speckle overlay on POLK and gH2AX. POLK speckles detected inside the nucleus are outlined in yellow. IN class cells are outlined in red, PN class in green. (C2) Scatterplots of gH2AX intensity measured inside POLK nuclear speckle (y-axis) were plotted against POLK intensities (x-axis) shown for INs (red) and PNs (green). The correlation coefficient and p-values are indicated for each. (C3) Dot mean plots with 95% confidence error bars of gH2AX intensities in the y-axis in INs (red) and PNs (green) plotted as a function of age (x-axis). (D1) Representative images showing colocalization of 53BP1 and channel separation of POLK, 53BP1, and POLK speckle overlay on POLK and 53BP1. POLK speckles detected inside the nucleus are outlined in yellow. IN class cells are outlined in red, and PN class in green. (D2) Scatterplots of 53BP1 intensity measured inside POLK nuclear speckle (y-axis) were plotted against POLK intensities (x-axis) shown for INs (red) and PNs (green). The correlation coefficient and p-values are indicated for each. (D3) Dot mean plots with 95% confidence error bars of 53BP1 intensities in the y-axis in INs (red) and PNs (green) plotted as a function of age (x-axis). (E1) Representative images showing colocalization of 8oxo-dG and channel separation of POLK, 8oxo-dG, and POLK speckle overlay on POLK and 8oxo-dG. POLK speckles detected inside the nucleus are outlined in yellow. IN class cells are outlined in red, and PN class in green. (E2) Scatterplots of 8oxo-dG intensity measured inside POLK nuclear speckle (y-axis) were plotted against POLK intensities (x-axis) shown for INs (red) and PNs (green). The correlation coefficients and p-values are indicated for each. (E3) Dot mean plots with 95% confidence error bars of 8oxo-dG intensities in the y-axis in INs (red) and PNs (green) plotted as a function of age (x-axis). Left column, merged 63X representative images of IN and PN, with red arrowheads showing line scan area where intensities of POLK and PRKDC (F1), POLK and APE1 (F2), and POLK and LIG3 (F3) were measured. The right columns in F1–F3 show corresponding IN- and PN-derived scatterplots where the y-axis shows PRKDC intensities (F1), APE1 (F2), LIG3 (F3), plotted against POLK intensities (x-axis). Separate plots are shown for INs (red) and PNs (green). The correlation coefficients and p-values are indicated for each.

Figure 2—figure supplement 1
Scatter plots showing intensity–intensity plots from INs (red) and PNs (green), where y-axis is KU70, XRCC1, and XRCC4, intensity levels plotted against POLK intensities in the x-axis.

The correlation coefficients and p-values are indicated for each.

Figure 3 with 1 supplement
Cytoplasmic POLK expression colocalizing with stress granules and lysosomal proteins.

(A) Schematic of cytoplasmic compartments and condensates and respective markers in parentheses that were assayed to colocalize with cytoplasmic POLK. (B) Cytoplasmic POLK (green) expression colocalizing with G3BP1 and LAMP1 (red) in fluorescent-nissl stained cells (blue) of mouse brain tissue in 18-month-old brain. Line scan in the boxed region shows POLK colocalizing with LAMP1 and G3BP1. (CF) Cytoplasmic POLK (green), EEA1, CTSB, CTSD, and GBA1 (red) in fluorescent-nissl stained cells (blue) of mouse brain tissue in 18-month-old brain. Line scan in the boxed region shows level of POLK colocalization with the proteins. Highest colocalization with CTSD, partial with EEA1 and CTSB, and minimal GBA1.

Figure 3—figure supplement 1
Supplement to cytoplasmic POLK expression colocalizing with stress granules and lysosomal proteins.

(A) Cytoplasmic POLK (green) expression colocalizing with G3BP1 (blue) in fluorescent-nissl stained cells (purple) of mouse brain tissue from M1 and S1 cortical regions in 18-month-old brain but not in young 1 month. (B) Cytoplasmic POLK (green) expression colocalizing with LAMP1 (blue) in fluorescent-nissl stained cells (purple) of mouse brain tissue from M1 and S1 cortical regions of 18-month brain. (C) Additional representative image with channel separation for immunofluorescence staining of wild-type mouse brain cortical areas S1, showing cytoplasmic POLK is colocalized with stress granule marker G3BP1 and endo/lysosomal marker LAMP1. Arrows indicate few representative sites of colocalization in both images.

Nuclear POLK is differentially expressed based on cell type in old brains.

(A) Representative image of the detection of inhibitory interneurons (INs), excitatory pyramidal neurons (PNs), and non-neuronal (NN) cell bodies using automated image analysis pipeline from a four-channel image of cortical areas from 19-month-old brain. (B) Magnified view of the dotted box from subpanel A showing overlay of the nuclear, cytoplasmic segmentation outlines and detection of nuclear POLK speckles and cytoplasmic POLK granules in IN, PN, and NN cells from wild-type mice cortical areas M1 and S1. (C) Boxplots from brain areas show the nuclear POLK count is higher in INs than PNs and NNs across cortical areas in both young and old age groups.

Figure 4—source data 1

CSV file and R Script of differential nuclear POLK expression by cell-types.

https://cdn.elifesciences.org/articles/101533/elife-101533-fig4-data1-v1.zip
Figure 5 with 1 supplement
Microglia associated with INs and PNs show significantly higher levels of cytoplasmic POLK expression.

(A) Schematic of the experimental design showing age groups, cell class gating logic, scoring spatial interaction, subcellular segmentation, detection, and measurement of POLK in the cytoplasmic compartment. (B) A representative single 20x imaging field from Gad2; Ai14 brain shows outlines of detected cell bodies of IN (red), PN (green). Iba1+ microglia (MG) that are attached or wrapped to neurons (MG-tied, filled light pink and arrows) and microglia that are within one body length of a neuron (blue fill with an asterisk) as well as unassociated microglia (blue fill). Channel separation shown for the four-channel super-resolution confocal image, fluorescent-nissl, NeuN, and Gad2; Ai14 = IN, fluorescent-nissl, and NeuN = PN, and fluorescent-nissl, and Iba1 = MG. (C) Representative images from M1 and S1 cortical areas show an overall increase in Iba1-positive cells in early old age compared to young. Yellow arrowheads point to MG-tied neurons. (D) Boxplot showing the difference in cytoplasmic POLK granule median intensity between MG-free and MG-tied INs and PNs across middle-, early-, and late-old time age groups. T-test p-values and effect sizes are shown for each comparison. Images were quantitated on fluorescent-nissl, NeuN, and Gad67 = IN, fluorescent-nissl, and NeuN = PN, and fluorescent-nissl, and Iba1 = MG.

Figure 5—source data 1

CSV file and R script for boxplots comparing the nuclear POLK median intensity and cytoplasmic POLK granule count.

https://cdn.elifesciences.org/articles/101533/elife-101533-fig5-data1-v1.zip
Figure 5—figure supplement 1
Boxplots comparing the nuclear POLK median intensity and cytoplasmic POLK granule count between MG-free and MG-tied INs and PNs across middle, early-old, and late-old time age groups.

T-test p-values are shown for each comparison. Images were quantitated on fluorescent-nissl, NeuN, and Gad67 = IN, fluorescent-nissl, and NeuN = PN, and fluorescent-nissl, and Iba1 = MG.

Figure 6 with 1 supplement
Kainic acid-induced neuronal activity causes POLK subcellular localization in young ex vivo brain.

(A) Schematic of the experimental design showing age groups, ex vivo treatment of kainic acid, and control groups, followed by immunostaining, imaging, and the measurement of nuclear and cytoplasmic POLK. (B) Boxplot of c-FOS levels between artificial cerebrospinal fluid (ACSF) control and kainic acid-treated groups at 80 and 160 min post-exposure intervals between young and old brains. Due to large number of observations artificially influencing significance, data was randomly subsampled 200 times, each time with 100 cells per group for Wilcoxon rank-sum (Mann–Whitney U) two-sided test. Distribution of subsampled p-values and Cohen’s d are shown in Figure 6—figure supplement 1A. Median p-value and Cohen’s d (gray columns in Figure 6—figure supplement 1A) are reported on the plot. (C) Boxplot of nuclear POLK speckle counts per unit between ACSF control and kainic acid-treated groups at 80 and 160 min post-exposure intervals between young and old brains. Wilcoxon rank-sum (Mann–Whitney U) two-sided test showed a significant increase in nuclear POLK at 160 min in the young brains. (D) Boxplot of cytoplasmic POLK granule counts per unit area between ACSF control and kainic acid-treated groups at 80 and 160 min post-exposure intervals between young and old brains. Wilcoxon rank-sum (Mann–Whitney U) two-sided test shows there is a significant decrease with small effect size in cytoplasmic granule counts upon kainic acid treatment after 160 min in young brains. (E) Boxplot of cytoplasmic POLK granule size measured by area contained, between ACSF control and kainic acid-treated groups at 80 and 160 min post-exposure intervals between young and old brains. Due to large number of observations artificially influencing significance, data was randomly subsampled 200 times, each time with 100 cells per group for Wilcoxon rank-sum (Mann–Whitney U) two-sided test. Distribution of subsampled p-values and Cohen’s d are shown in Figure 6—figure supplement 1B. Median p-value and Cohen’s d (gray columns in Figure 6—figure supplement 1B) are reported on the plot.

Figure 6—source data 1

CSV files, R and Python script for subsampling and distribution of p-values and Cohen’s d.

https://cdn.elifesciences.org/articles/101533/elife-101533-fig6-data1-v1.zip
Figure 6—figure supplement 1
Subsampling distribution of p-values and Cohen’s d.

(A, B) Boxplots showing the distribution of p-values and Cohen’s d values after performing nonparametric test by 200 repeated random subsampling at 100 cells per group from Figure 6B and E. Shaded columns show the values reported in Figure 6B, E.

Subcellular expression of POLK is a learnable feature predictive of organismal age and IN, PN, and NN cell class from mouse brain tissue.

Random Forest (A1) and Gradient Boosting (A2) classifier can distinguish between 1-, 10-, and 18-month-old age groups upon training on the subcellular nuclear and cytoplasmic distribution of POLK counts using data from Figure 1F, G. Top bar shows the number of cells used for training, validation, and test samples of the total. Area Under Receiver Operator Curve (AUROC) values show the performance of the classifier for each age group when tested on the holdout groups. The bar plot shows the relative contribution of the image parameters and image metadata indicating cytoplasmic POLK counts as the major driver. Random Forest (A3) and Gradient Boosting (A4) classifier can distinguish between middle to late-old ages 10-, 18-, and 24- to 27-month age groups upon training on the subcellular nuclear and cytoplasmic distribution of POLK counts, POLK intensities in nuclear speckles and cytoplasmic granules, MG association and other metadata from Figure 5. Top bar shows the data split for training, validation, and test groups. Major driver of performance is cytoplasmic POLK intensity and counts. Random Forest (B1) and Gradient Boosting (B2) classifier can distinguish between broad IN, PN, and NN cell class with high AUROC values. Nuclear POLK per unit area and nuclear area are the major feature drivers of performance.

Figure 7—source data 1.

CSV files and JASP analysis files for subcellular expression of POLK is a learnable feature predictive of organismal age and IN, PN, and NN cell class.

https://cdn.elifesciences.org/articles/101533/elife-101533-fig7-data1-v1.zip

Tables

Table 1
Absolute counts of nuclear Polk speckles.
ANCOVA post hoc comparisons – age, with nuclear area as covariate
Mean DiffSEtCohen’s dptukeypbonf
1M10M18.4321.80610.2030.854<0.001***<0.001***
1M18M20.5841.91810.7330.954<0.001***<0.001***
10M18M2.1522.2120.9730.10.5940.992
  1. Note. Results are averaged over the levels of brain area.

  2. Note. p-value adjusted for comparing a family of 3.

  3. *p < 0.05, **p < 0.01, ***p < 0.001.

Table 2
Nuclear POLK counts per unit area × age × brain area.
ANCOVA post hoc comparisons – age × brain area, with nuclear area as covariate
Mean DiffSEtCohen’s dptukeypbonf
1M Cg110M Cg122.2764.8414.6021.032<0.001***<0.001***
1M Cg118M Cg125.2654.9875.0661.171<0.001***<0.001***
10M Cg118M Cg12.995.8810.5080.13911
1M M110M M118.7293.3665.5640.868<0.001***<0.001***
1M M118M M124.7953.3417.4211.149<0.001***<0.001***
10M M118M M16.0663.9761.5260.2810.9331
1M M210M M217.8523.5764.9920.827<0.001***<0.001***
1M M218M M214.2584.1053.4740.6610.026*0.035*
10M M218M M2–3.5934.699–0.765–0.16711
1M S110M S114.8732.1177.0270.689<0.001***<0.001***
1M S118M S118.0182.0578.7580.835<0.001***<0.001***
10M S118M S13.1442.2931.3710.1460.9691
  1. Note. p-value adjusted for comparing a family of 12; only relevant comparisons are shown *p < 0.05, **p < 0.01, ***p < 0.001.

Table 3
Size (area) of nuclear Polk speckles.
ANOVA post hoc comparisons – age
Mean differenceSEtCohen’s dptukeypbonf
1M10M7.1950.43116.7080.099<0.001***<0.001***
1M18M23.6170.57840.8610.323<0.001***<0.001***
10M18M16.4220.65325.1430.225<0.001***<0.001***
  1. Note. Results are averaged over the levels of brain area.

  2. Note. p-value adjusted for comparing a family of 3.

  3. *p < 0.05, **p < 0.01, ***p < 0.001.

Table 4
Absolute counts of cytoplasmic Polk granules.
Post hoc comparisons – age, with cytoplasmic area as covariate
Mean DiffSEtCohen’s dptukeypbonf
1M10M59.093.82415.4511.295<0.001***<0.001***
1M18M66.1643.99716.5531.45<0.001***<0.001***
10M18M7.0744.6541.520.1550.2820.386
  1. Note. Results are averaged over the levels of brain area.

  2. Note. p-value adjusted for comparing a family of 3.

  3. *p < 0.05, **p < 0.01, ***p < 0.001.

Table 5
Absolute counts of cytoplasmic Polk granule comparison by age and brain area.
ANOVA post hoc comparisons – age × brain area, with cytoplasmic area as covariate
Mean DiffSEtCohen’s dptukeypbonf
1M Cg110M Cg157.94410.2325.6631.27<0.001***<0.001***
1M Cg118M Cg180.17410.5027.6341.757<0.001***<0.001***
10M Cg118M Cg122.2312.4321.7880.4870.8241
1M M110M M159.1097.0948.3331.295<0.001***<0.001***
1M M118M M160.7697.0098.671.332<0.001***<0.001***
10M M118M M11.6618.4030.1980.03611
1M M210M M258.4717.5727.7221.281<0.001***<0.001***
1M M218M M266.5888.6797.6721.459<0.001***<0.001***
10M M218M M28.1179.8960.820.17811
1M S110M S160.8364.46613.6231.333<0.001***<0.001***
1M S118M S157.1224.34313.1531.252<0.001***<0.001***
10M S118M S1–3.7134.853–0.765–0.08111
  1. Note. p-value adjusted for comparing a family of 12; only relevant comparisons are shown *p < 0.05, **p < 0.01, ***p < 0.001.

Table 6
Size (area) of cytoplasmic Polk granules.
Post hoc comparisons – age
Mean DiffSEtCohen’s dptukeypbonf
1M10M–12.5310.667–18.778–0.066<0.001***<0.001***
1M18M–47.5990.904–52.653–0.252<0.001***<0.001***
10M18M–35.0681.036–33.834–0.186<0.001***<0.001***
  1. Note. Results are averaged over the levels of area.

  2. Note. p-value adjusted for comparing a family of 3. ***p < 0.001.

Table 7
Cell class nuclear Polk counts per age.
Post hoc comparisons – age_bracket × cell type
Mean DiffSEtCohen’s dptukey
Young INYoung PN7.5931.2765.9480.624<0.001***
Young INYoung NN29.4031.26623.2312.418<0.001***
Young PNYoung NN21.810.72130.2521.793<0.001***
Early old INEarly old PN17.1911.39112.3621.414<0.001***
Early old INEarly old NN30.1891.35222.3332.482<0.001***
Early old PNEarly old NN12.9980.76217.0661.069<0.001***
  1. Note. Results are averaged over the levels of area.

  2. Note. p-value adjusted for comparing a family of 6, only relevant comparisons shown. ***p < 0.001.

Table 8
Cell class nuclear Polk counts per age and brain area.
Post hoc comparisons – age_bracket × cell type × area
Mean DiffSEtCohen’s dptukey
Young IN M1Young PN M16.4221.8913.3960.5280.034*
Young IN M1Young NN M129.6771.87215.8542.44<0.001***
Young PN M1Young NN M123.2551.07921.5491.912<0.001***
Young IN S1Young PN S18.7641.7155.1110.721<0.001***
Young IN S1Young NN S129.1291.70417.0942.395<0.001***
Young PN S1Young NN S120.3660.95621.2971.675<0.001***
Early old IN M1Early old PN M118.5411.9979.2821.525<0.001***
Early old IN M1Early old NN M128.1561.94514.4742.315<0.001***
Early old PN M1Early old NN M19.6151.1598.2960.791<0.001***
Early old IN S1Early old PN S115.8421.9358.1851.303<0.001***
Early old IN S1Early old NN S132.2221.87817.1622.649<0.001***
Early old PN S1Early old NN S116.380.98816.5711.347<0.001***
  1. Note. p-value adjusted for comparing a family of 12, only relevant comparisons shown. *p < 0.05, **p < 0.01, ***p < 0.001.

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
AntibodyMouse monoclonal anti-PolK (or) DinB Antibody (A-9)Santa CruzRRID:AB_2167029IF (1:200 and 1:400)
WB (1:500)
AntibodyMouse monoclonal anti-PolK (or) DinB Antibody (A-9) HRPSanta Cruzsc-166667 HRPWB (1:500)
AntibodyRabbit polyclonal anti-PolKABclonalRRID:AB_2758963IF (1:8000)
WB (1:2000)
AntibodyMouse monoclonal anti-REV1Santa CruzRRID:AB_2885169IF (1:400)
AntibodyMouse monoclonal anti-PoliSanta CruzRRID:AB_2167019IF (1:400)
AntibodyGuinea Pig polyclonal anti-NeuN/Fox3Synaptic SystemsRRID:AB_2619988IF (1:500)
AntibodyMouse monoclonal anti-Gad67MilliporeRRID:AB_2278725IF (1:1000)
AntibodyRabbit polyclonal anti-Gamma h2axNovus BiologicalsRRID:AB_350295IF (1:2000)
AntibodyRabbit polyclonal anti-53BP1Novus BiologicalsRRID:AB_350221IF (1:2000)
AntibodyRabbit polyclonal anti-8-OHdGGeneTexRRID:AB_2893390IF (1:100)
AntibodyRabbit polyclonal anti-DNA-PKcsABclonalRRID:AB_2771830IF (1:100)
AntibodyRabbit polyclonal anti-XRCC4ABclonalRRID:AB_2861842IF (1:100)
AntibodyRabbit polyclonal anti-DNA Ligase IIIABclonalRRID:AB_2760369IF (1:100)
AntibodyRabbit polyclonal anti-Ku70ABclonalRRID:AB_2861526IF (1:100)
AntibodyRabbit polyclonal anti-XRCC1ABclonalRRID:AB_2757194IF (1:100)
AntibodyRabbit polyclonal anti-Ape1ABclonalRRID:AB_2861531IF (1:100)
AntibodyRabbit polyclonal anti-Iba1AbcamRRID:AB_2636859IF (1:1000)
AntibodyMouse monoclonal anti-G3BP1DSHBRRID:AB_2722179IF (1:18)
AntibodyRat monoclonal anti-1D4B (LAMP1)DSHBRRID:AB_2134500IF (1:200)
AntibodyRabbit polyclonal anti-cFOSSynaptic SystemsRRID:AB_2891278IF (1:1000)
AntibodyMouse monoclonal anti-Alpha TubulinProteintechRRID:AB_2687491WB (1:10,000)
AntibodyMouse monoclonal anti-Beta ActinProteintechRRID:AB_2819183WB (1:10,000)
AntibodyMouse monoclonal anti-GAPDH (G9)Santa CruzRRID:AB_10847862WB (1:2000)
AntibodyMouse Histone-H3 (1G1)Santa CruzRRID:AB_2848194WB (1:1000)
AntibodyChicken polyclonal anti-MAP2AbcamRRID:AB_2138153IF (1:10,000)
AntibodyRabbit polyclonal anti-Cathepsin BProteinTechRRID:AB_2086929IF (1:500)
AntibodyRabbit polyclonal anti-Cathepsin DProteintechRRID:AB_10733646IF (1:500)
AntibodyRabbit polyclonal anti-Glococerebrosidase (GBA)Sigma-AldrichRRID:AB_1078958IF (1:500)
AntibodyRabbit polyclonal anti-EEA1ProteinTechRRID:AB_2881117IF (1:500)
AntibodyGoat polyclonal Anti-Mouse IgG(H+L) HRP-conjugatedProteinTechRRID:AB_2722565WB (1:10,000)
AntibodyGoat anti-Guinea Pig Dylight 405Jackson ImmunoResearchRRID:AB_2337432IF (1:1000)
AntibodyGoat anti-Mouse IgG1 Alexa Fluor 488InvitrogenRRID:AB_2535764IF (1:1000 and 1:2000)
AntibodyDonkey anti-Mouse IgG Alexa Fluor 488InvitrogenRRID:AB_2762838IF (1:1000)
AntibodyGoat anti-Mouse IgG2a Alexa Fluor 594InvitrogenRRID:AB_2535774IF (1:1000)
AntibodyGoat anti-Rat Alexa Fluor 594InvitrogenRRID:AB_2896333IF (1:1000)
AntibodyGoat anti-Rabbit Alexa Fluor 647InvitrogenRRID:AB_2633282IF (1:1000)
OtherNeuroTrace 435/455 blue-fluorescent Nissl stainInvitrogenCat #: N21479IF (1:300)
OtherNeuroTrace 640/660 deep red-fluorescent Nissl stainInvitrogenRRID:AB_2572212IF (1:300)
Cell lines (Mus musculus)Mouse cortical neuronal cellsThermo ScientificCat#: A15585
Cell lines (Mus musculus)Neuro2a (N2a)ATCCRRID:CVCL_0470
Cell lines (Mus musculus)4T1ATCCRRID:CVCL_0125
Transfected construct (mouse)Mouse Polk siRNADharmaconCat#: A-048146-13-0050
Transfected construct (mouse)Accell Red Non-targeting siRNADharmaconCat#: D-001960-01-05
Transfected construct (mouse)Mouse DinB siRNASanta CruzCat#: sc-60538
Transfected construct (mouse)Control siRNA-ASanta CruzCat#: sc-37007

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  1. Mofida Abdelmageed
  2. Premkumar Palanisamy
  3. Victoria Vernail
  4. Yuval Silberman
  5. Shilpi Paul
  6. Anirban Paul
(2026)
An altered cell-specific subcellular distribution of translesion synthesis DNA polymerase kappa (POLK) in aging mouse neurons
eLife 13:RP101533.
https://doi.org/10.7554/eLife.101533.3