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Senescence Inhibits the Chaperone Response to Thermal Stress

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SUPPLEMENTAL INFORMATION Senescence inhibits the chaperone response to thermal stress Jack Llewellyn1, 2, Venkatesh Mallikarjun1, 2, 3, Ellen Appleton1, 2, Maria Osipova1, 2, Hamish TJ Gilbert1, 2, Stephen M Richardson2, Simon J Hubbard4, 5 and Joe Swift1, 2, 5 (1) Wellcome Centre for Cell-Matrix Research, Oxford Road, Manchester, M13 9PT, UK. (2) Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PL, UK. (3) Current address: Department of Biomedical Engineering, University of Virginia, Box 800759, Health System, Charlottesville, VA, 22903, USA. (4) Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PL, UK. (5) Correspondence to SJH ([email protected]) or JS ([email protected]). Page 1 of 11 Supplemental Information: Llewellyn et al. Chaperone stress response in senescence CONTENTS Supplemental figures S1 – S5 … … … … … … … … 3 Supplemental table S6 … … … … … … … … 10 Supplemental references … … … … … … … … 11 Page 2 of 11 Supplemental Information: Llewellyn et al. Chaperone stress response in senescence SUPPLEMENTAL FIGURES Figure S1. A EP (passage 3) LP (passage 16) 200 µm 200 µm 1.5 3 B Mass spectrometry proteomics (n = 4) C mRNA (n = 4) D 100k EP 1.0 2 p < 0.0001 p < 0.0001 LP p < 0.0001 p < 0.0001 ) 0.5 1 2 p < 0.0001 p < 0.0001 10k 0.0 0 -0.5 -1 Cell area (µm Cell area fold change vs. EP fold change vs. EP 2 2 log -1.0 log -2 1k -1.5 -3 GLB1 LMNB1 LMNB1 WH211 WH226 WH230 Figure S1. Characteristics of senescence in primary human mesenchymal stem cells (hMSCs) cultured to late passage (LP) were increased relative to those in donor-matched cells at early passage (EP). LP cells were examined at the passage number where onset of senescence occurred i.e. further cell proliferation was halted. This point was found to vary between donors (see Table 1 in the Materials and Methods section). Comparisons were made between donor-matched samples of senescent LP and EP cells at passage 3: (A) LP hMSCs showed positive staining for β-galactosidase. (B) Quantitative mass spectrometry proteomics (Fig. 1A) showed a corresponding significant increase in β-galactosidase protein (GLB1, p < 0.0001) in LP vs. EP cells, and significant loss of the senescence marker lamin-B1 (LMNB1, p < 0.0001) (Shimi et al, 2011). Log2 fold-changes and significance values corrected for Benjamini-Hochberg false discovery rate (BH-FDR) were calculated as described previously (Mallikarjun et al, 2020); n = 4 primary donors. (C) RT-qPCR also showed a corresponding significant decrease of LMNB1 transcript in LP vs. EP hMSCs (p < 0.0001 established by t- test; normalisation to housekeeping gene PPIA; n = 4 primary donors). (D) An analysis of cell morphology showed that LP hMSCs had significantly larger spread areas than EP cells (p < 0.0001 established by ANOVA testing, with ≥ 39 cells imaged per condition), consistent with established senescence phenotype (Hernandez-Segura et al, 2018). Solid red lines indicate medians; dashed red lines indicate quartiles. Page 3 of 11 Supplemental Information: Llewellyn et al. Chaperone stress response in senescence Figure S2. TTC8 A CCT8L2 B FKBP14 BBS4 PFDN5 PFDN1 CCT6B CCT8 MKKS PFDN2 UNC45A SGTA CCT4 AIP CCT3 PFDN6 BBS10 CCT5 VBP1 TXNRD1 FKBP5 TCP1 UNC45B FKBP6 CCT7 CDC23 PFDN4 ANAPC5 PPP5C CCT2 CCT6A TXNRD3 PPIL6 FKBPL FKBP9 ERP44 CDC27 TTC4 TXN PRDX4 CDC16 CLPB HSPE1 PPIG NKTR PPID QSOX1 ANAPC7 STUB1 FKBP4 TTC30A LONRF1 DNAJB4 TTC12 DNAJB6 ST13 DNAJB12 HSP90AA1 DNAJB7 DNAJB5 HSPH1 TTC21B TTC26 SUGT1 DNAJB1 TRAP1 STIP1 HSP90AB1 CDC37L1 TOR4A AHSA2 HSPA2 DNAJC5 BAG1 PTGES3 TTC28 DNAJA3 GRPEL2 GRPEL1 0 1 PTGDS CDC37 AHSA1 STRING interaction score HSPA13 HSPA12B DNAJA1 HSPA1L TTC30B IFT88 DNAJA2 HSPA14 DNAJC6 HSCB DNAJB9 BAG2 BAG3 HSPD1 FKBP8 HSPA1A PPIH DNAJC5B HSP90B1 HSPA4 HSPA8 HSPA9 HSPA12A KLC1 DNAJA4 IFIT1 BCS1L DNAJB13 HSPA6 HSPA1B DNAJC3 TOMM70A HSPA5 HSPA4L IFIT2 CWC27 BAG4 KLC3 HSPB1 HYOU1 DNAJC2 DNAJC19 PRPF6 VCP DNAJB11 GAK DNAJB2 KLC4 DNAJB14 XAB2 BAG5 DNAJC10 DNAJC10 DNAJC1 IFIT3 PPIE PPIL1 DNAJC7 KLC2 PPWD1 CANX DNAJB8 CRNKL1 DNAJC8 PDIA6 TXNDC5 SRP68 TOR1B NOXA1 CRYAB PDIA3 PDIA4 CLGN CALR SIL1 ERO1L SRP72 TOR1A NCF2 CRYAA ERLEC1 EDEM1 P4HB ERO1LB ASPH NAA15 PHB LEPREL1 ERP27 PLOD3 P4HA1 PLOD2 P4HA3 P4HA2 FKBP1B NAA16 PHB2 1 64 PLOD1 PPIB SERPINH1 Number of interactions Figure S2. Application of network analysis to define functional groups within the human chaperome. (A) The 332 protein human chaperone network (Brehme et al, 2014), with nodes coloured according to chaperone degree as a measure of importance to the function of the network (Rubinov & Sporns, 2010). The most highly connected proteins in the network were: HSPA8 (degree = 64); HSP90AA1 (53); HSPA5 (52); HSPA9 (48); and, HSPA1A (47). (B) The adjacency matrix of the human chaperone network following modularity analysis. Rows and columns are the 332 nodes in the network, with entries representing the STRING interaction score (Szklarczyk et al, 2019). Interactions have been filtered to only include those of the highest confidence (score ≥ 0.9). Page 4 of 11 Supplemental Information: Llewellyn et al. Chaperone stress response in senescence Figure S3. EP LP EP LP 37°C 37°C 42°C 42°C A (n = 2 donors) B (n = 2 donors) C HSPA4 D HSPA4 BAG5 DNAJC3 BAG5 DNAJC3 14 14 BAG2 HSPA6 BAG2 HSPA6 sig. up 10 sig. up 30 sig. down 22 sig. down 118 HSPA1A DNAJA2 HSPA1A DNAJA2 12 12 DNAJC5 HSPH1 DNAJC5 HSPH1 10 10 HSPB1 DNAJB4 HSPB1 DNAJB4 HSP70 HSP70 8 8 HSPA8 HSPA4L HSPA8 HSPA4L machinery machinery 6 6 DNAJC10 DNAJA1 DNAJC10 DNAJA1 HSPD1 GRPEL1 HSPD1 GRPEL1 4 4 FDR-corrected p-value FDR-corrected p-value FDR-corrected 10 10 DNAJB1 HSPA9 DNAJB1 HSPA9 2 2 FKBP8 HSPA12A FKBP8 HSPA12A -log -log TOMM70A BAG3 TOMM70A BAG3 HSPA5 HSPA5 0 0 PES vs. control PES vs. control -3 -2 -1 0 1 2 3 -3 -2 -1 0 1 2 3 LP at 37°C LP at 42°C log2 fold-change log2 fold-change geldanamycin vs. control radicicol vs. control Figure S3. Proteomic analysis of early passage (EP) and late passage (LP) primary human mesenchymal stem cells (hMSCs) treated with chaperone inhibitors and thermal stress. Volcano plots showing changes to the proteomes of EP hMSCs treated with the HSP90-inhibitors (A) geldanamycin, or (B) radicicol, at 37 °C. Red and blue points satisfy a p-value < 0.05. p-values were calculated using empirical Bayes-modified t-tests with Benjamini–Hochberg false discovery rate (FDR) correction (Mallikarjun et al, 2020). (C) Network of proteins in the HSP70 chaperome module, showing changes induced by HSP70- inhibitor 2-phenylethynesulfonamide (PES) in LP hMSCs under control conditions. (D) Changes to protein levels in the HSP70 chaperome module induced by PES treatment in LP hMSCs subjected to 2-hour heat treatment at 42 °C. In network diagrams, node size is indicative of chaperone degree, while edge weight indicates interaction score between chaperones. The central node is coloured according to the mean abundance change of chaperones associated with the module. Descriptions of the chaperone modules can be found in Fig. 2A of the main paper. Page 5 of 11 Supplemental Information: Llewellyn et al. Chaperone stress response in senescence Figure S4. 1.5 1.5 A EP B 1.0 LP 1.0 0.5 0.5 0.0 0.0 (nucleus) (nucleus) LP vs. EP -0.5 -0.5 p-value p-value (EP ≠ LP) (vs. t = -2 hrs) 0.0001 0.0001 HSPA1A mean IF intensity HSPA1A HSPA1A mean IF intensity HSPA1A 0.001 2 2 -1.0 -1.0 0.001 0.01 0.01 log log > 0.05 (n = 3 donors) > 0.05 (n = 3 donors) -1.5 -1.5 -2 0 4 8 12 16 20 24 -2 0 4 8 12 16 20 24 Time after heat shock (hours) Time after heat shock (hours) 1.5 1.5 C p-value D (vs. t = -2 hrs) 1.0 0.0001 1.0 0.001 0.01 0.5 > 0.05 0.5 0.0 0.0 LP vs. EP -0.5 -0.5 p-value (EP ≠ LP) nuclear:cytoplasmic nuclear:cytoplasmic 0.0001 HSPA1A mean IF intensity HSPA1A HSPA1A mean IF intensity HSPA1A 0.001 2 -1.0 2 -1.0 EP 0.01 log (n = 3 donors) LP log (n = 3 donors) > 0.05 -1.5 -1.5 -2 0 4 8 12 16 20 24 -2 0 4 8 12 16 20 24 Time after heat shock (hours) Time after heat shock (hours) 1.5 E F EP 1.0 LP Dapi EP Phalloidin 0.5 0.0 (nucleus) 100 µm HSF1 -0.5 p-value (vs. t = -2 hrs) HSF1 mean IF intensity 2 0.0001 -1.0 0.001 log 0.01 (n = 3 donors) > 0.05 -1.5 Dapi -2 0 4 8 12 16 20 24 Phalloidin LP Time after heat shock (hours) G 1.5 100 µm HSF1 1.0 -2 -1 0 0.5 1 2 4 8 24 0.5 Time after heat shock (hours) 0.0 LP vs. EP -0.5 p-value (EP ≠ LP) 0.0001 -1.0 0.001 0.01 HSF1 mean IF intensity (nucleus) 2 (n = 3 donors) > 0.05 -1.5 log -2 0 4 8 12 16 20 24 Time after heat shock (hours) Page 6 of 11 Supplemental Information: Llewellyn et al. Chaperone stress response in senescence Figure S4. Analysis of immunofluorescence (IF) images of heat shock protein 70 kDa (HSPA1A) and heat shock factor 1 (HSF1) in early passage (EP) and late passage (LP) human mesenchymal stem cells (hMSCs) subjected to heat treatment.
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    Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia.
  • Supplementary Table 2 Supplementary Table 1

    Supplementary Table 2 Supplementary Table 1

    Supplementary table 1 Rai/ Binet IGHV Cytogenetic Relative viability Fludarabine- Sex Outcome CD38 (%) IGHV gene ZAP70 (%) Treatment (s) Stage identity (%) abnormalities* increase refractory 1 M 0/A Progressive 14,90 IGHV3-64*05 99,65 28,20 Del17p 18.0% 62,58322819 FCR n.a. 2 F 0/A Progressive 78,77 IGHV3-48*03 100,00 51,90 Del17p 24.8% 77,88052021 FCR n.a. 3 M 0/A Progressive 29,81 IGHV4-b*01 100,00 9,10 Del17p 12.0% 36,48 Len, Chl n.a. 4 M 1/A Stable 97,04 IGHV3-21*01 97,22 18,11 Normal 85,4191657 n.a. n.a. Chl+O, PCR, 5 F 0/A Progressive 87,00 IGHV4-39*07 100,00 43,20 Del13q 68.3% 35,23314039 n.a. HDMP+R 6 M 0/A Progressive 1,81 IGHV3-43*01 100,00 20,90 Del13q 77.7% 57,52490626 Chl n.a. Chl, FR, R-CHOP, 7 M 0/A Progressive 97,80 IGHV1-3*01 100,00 9,80 Del17p 88.5% 48,57389901 n.a. HDMP+R 8 F 2/B Progressive 69,07 IGHV5-a*03 100,00 16,50 Del17p 77.2% 107,9656878 FCR, BA No R-CHOP, FCR, 9 M 1/A Progressive 2,13 IGHV3-23*01 97,22 29,80 Del11q 16.3% 134,5866919 Yes Flavopiridol, BA 10 M 2/A Progressive 0,36 IGHV3-30*02 92,01 0,38 Del13q 81.9% 78,91844953 Unknown n.a. 11 M 2/B Progressive 15,17 IGHV3-20*01 100,00 13,20 Del11q 95.3% 75,52880995 FCR, R-CHOP, BR No 12 M 0/A Stable 0,14 IGHV3-30*02 90,62 7,40 Del13q 13.0% 13,0939004 n.a.