Alison M. Maxwell’s research while affiliated with UCSF University of California, San Francisco and other places

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Publications (10)


Fig. 1. Cell bioassays detect Aβ and tau prions in DS brain samples. (A) Diluted (0.03×) PTA extracts from frozen brain samples of adults with DS were added to HEK293T cells expressing YFP-Aβ42 or tau-YFP to measure Aβ and tau prion infectivity, respectively. Cell-based prion infectivity measurements plotted as a function of the donor age at death. Data are presented as the mean and SD of four technical replicates per individual subject per assay. PBS control refers to the vehicle buffer with lipofectamine that is used in the cell infection protocol. (B) Bar graphs showing group comparison of Aβ and tau prion infectivity for DS and cognitively neurotypical, age-matched controls. Data are presented as the mean and SD of all samples per group. Aβ prion infectivity values are as follows: 1) DS = 151,420 arbitrary units (a.u.) ± 64,311; 2) aged control = 5,522 a.u. ± 3,594. Tau prion infectivity values are as follows: 1) DS = 189,912 a.u. ± 80,154; 2) aged control = 2,980 a.u. ± 3,131. Student's t test was used to assess statistical significance compared with aged controls. (C) Tau prion infectivity was plotted as a function of Aβ prion infectivity for each sample with DS, and a linear regression was performed. Individuals with DS who were ≥40 y old (filled circles) and those who were younger than 40 y (open circles) were plotted together. y.o., years old.
Experimental transmission of prions derived from human brain extracts to animals or cultured cells
Aβ and tau prions feature in the neuropathogenesis of Down syndrome
  • Article
  • Full-text available

November 2022

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119 Reads

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16 Citations

Proceedings of the National Academy of Sciences

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Alison M Maxwell

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Erika Castillo

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[...]

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Down syndrome (DS) is caused by the triplication of chromosome 21 and is the most common chromosomal disorder in humans. Those individuals with DS who live beyond age 40 y develop a progressive dementia that is similar to Alzheimer's disease (AD). Both DS and AD brains exhibit numerous extracellular amyloid plaques composed of Aβ and intracellular neurofibrillary tangles composed of tau. Since AD is a double-prion disorder, we asked if both Aβ and tau prions feature in DS. Frozen brains from people with DS, familial AD (fAD), sporadic AD (sAD), and age-matched controls were procured from brain biorepositories. We selectively precipitated Aβ and tau prions from DS brain homogenates and measured the number of prions using cellular bioassays. In brain extracts from 28 deceased donors with DS, ranging in age from 19 to 65 y, we found nearly all DS brains had readily measurable levels of Aβ and tau prions. In a cross-sectional analysis of DS donor age at death, we found that the levels of Aβ and tau prions increased with age. In contrast to DS brains, the levels of Aβ and tau prions in the brains of 37 fAD and sAD donors decreased as a function of age at death. Whether DS is an ideal model for assessing the efficacy of putative AD therapeutics remains to be determined.

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Aβ and tau scoring criteria by number of pathological markers per mm 2
Distribution of ages, APOE genotypes, and sexes among the study cohorts. A broad range of case ages, genotypes, and sexes comprise the study cohorts. a Distributions of patient ages at the time of death (nDS = 152, nAD = 34, nADNC = 24). b Proportion of cases with each APOE genotype, when known (n = 137). Genotypes were established through Sanger sequencing of SNP-containing APOE amplicons purified from gDNA. c Percent of all cases and of each cohort that were known to be male or female (n = 204)
Characterization of neuropathology using custom histological scoring and biochemistry. a Representative IHC images from a DS case with Xtau = 1 and XAβ = 1 (UCI 35-06) and from a DS cases with Xtau = 4 and XAβ = 4 (UCI 29-06). FFPE sections were dual stained with primary antibodies specific for either Aβ40/Aβ42 or total Aβ/S262 pTau and were detected using fluorescent secondary antibodies. Scale bars are 100 µm. b Proportions of cases in each cohort with each XAβ and Xtau as determined by custom manual scoring methodology. c–h Protein concentrations determined in frozen tissue, ± SEM. For soluble proteins (APP, sTau), clarified brain homogenate was assayed by ELISA. For insoluble proteins (Aβ40, Aβ42, total insoluble tau, and pTau), formic acid-extracted samples were assayed by HTRF. Significance values were determined by one-way ANOVA with Tukey’s multiple comparisons test. *: 0.01 < p ≤ 0.05; **: 0.001 < p ≤ 0.01, ***: 0.0001 < p ≤ 0.001. ****: p < 0.0001
PCA performed on plaque-derived fluorescence spectra reveals a subset of conformational space unique to DS. a Overview of the experimental and computational workflow. b PCA of 2673 plaques from 100 DS, AD, and ADNC cases. The concatenated spectra were analyzed by PCA and are plotted in the eigenspace defined by PC2 and PC3. Each data point derives from the concatenated spectra of 3 dyes and represents one plaque. A Gaussian KDE is shown at 30%, 60%, and 90% probability intervals. c–e The PCA data are plotted separately by cohort for clarity. f A 99.5% kernel density estimate computed from either all ADNC spectra (purple) or all AD spectra (green) is shaded. The non-overlapping subset of DS vectors (blue points) indicate Aβ strains that may be unique to DS
Per-patient strain heterogeneity increases with advancing pathology. a Examples of per-patient vector distributions, showing varying amounts of heterogeneity among patients. Each plot contains all vectors for 1–6 individual patients, with the corresponding patient IDs labelled in the bottom left of each plot. Each point is the spectral vector representing a single plaque from the given patient. The columns contain DS, AD, and ADNC cases respectively. The rows contain cases with different Xtau in each cohort, which exemplifies how heterogeneity is greater in cases with more advanced pathology. No AD cases had Xtau = 0 and no ADNC cases had Xtau = 4. b–e KDEs of RMSDs calculated using each case’s vector distributions in PCs 2–4. These distributions are compared between b cohorts, cXtau in DS, dXtau in AD, and e AD and DS cases with Xtau = 4
Emergence of distinct and heterogeneous strains of amyloid beta with advanced Alzheimer’s disease pathology in Down syndrome

December 2021

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83 Reads

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14 Citations

Acta Neuropathologica Communications

Amyloid beta (Aβ) is thought to play a critical role in the pathogenesis of Alzheimer’s disease (AD). Prion-like Aβ polymorphs, or “strains”, can have varying pathogenicity and may underlie the phenotypic heterogeneity of the disease. In order to develop effective AD therapies, it is critical to identify the strains of Aβ that might arise prior to the onset of clinical symptoms and understand how they may change with progressing disease. Down syndrome (DS), as the most common genetic cause of AD, presents promising opportunities to compare such features between early and advanced AD. In this work, we evaluate the neuropathology and Aβ strain profile in the post-mortem brain tissues of 210 DS, AD, and control individuals. We assayed the levels of various Aβ and tau species and used conformation-sensitive fluorescent probes to detect differences in Aβ strains among individuals and populations. We found that these cohorts have some common but also some distinct strains from one another, with the most heterogeneous populations of Aβ emerging in subjects with high levels of AD pathology. The emergence of distinct strains in DS at these later stages of disease suggests that the confluence of aging, pathology, and other DS-linked factors may favor conditions that generate strains that are unique from sporadic AD.


Emergence of distinct and heterogeneous strains of amyloid beta as Alzheimer’s disease progresses in Down syndrome

July 2021

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50 Reads

Amyloid beta (Aβ) is thought to play a critical role in the pathogenesis of Alzheimer’s disease (AD). Prion-like Aβ polymorphs, or “strains”, can have varying pathogenicity and may underlie the phenotypic heterogeneity of the disease. In order to develop effective AD therapies, it is critical to identify the strains of Aβ that might arise prior to the onset of clinical symptoms and understand how they may change with progressing disease. Down syndrome (DS), as the most common genetic cause of AD, presents promising opportunities to compare such features between early and advanced AD. In this work, we evaluate the neuropathology and Aβ strain profile in the post-mortem brain tissues of 210 DS, AD, and control individuals. We assayed the levels of various Aβ and tau species and used conformation-sensitive fluorescent probes to detect differences in Aβ strains among individuals and populations. We found that these cohorts have some common but also some distinct strains from one another, with the most heterogeneous populations of Aβ emerging in subjects with high levels of AD pathology. The emergence of distinct strains in DS at these later stages of disease suggests that the confluence of aging, pathology, and other DS-linked factors may favor conditions that generate strains that are unique from sAD.


Robust Sequence Determinants of α-Synuclein Toxicity in Yeast Implicate Membrane Binding

July 2020

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43 Reads

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11 Citations

ACS Chemical Biology

Protein conformations are shaped by cellular environments, but how environmental changes alter the conformational landscapes of specific proteins in vivo remains largely uncharacterized, in part due to the challenge of probing protein structures in living cells. Here, we use deep mutational scanning to investigate how a toxic conformation of α-synuclein, a dynamic protein linked to Parkinson’s disease, responds to perturbations of cellular proteostasis. In the context of a course for graduate students in the UCSF Integrative Program in Quantitative Biology, we screened a comprehensive library of α-synuclein missense mutants in yeast cells treated with a variety of small molecules that perturb different cellular processes linked to α-synuclein biology and pathobiology. We found that the conformation of α-synuclein previously shown to drive yeast toxicity—an extended, membrane-bound helix—is largely unaffected by these chemical perturbations, underscoring the importance of this conformational state as a driver of cellular toxicity. On the other hand, the chemical perturbations have a significant effect on the ability of mutants to suppress α-synuclein toxicity. Moreover, we find that sequence determinants of α-synuclein toxicity are well described by a simple structural model of the membrane-bound helix. This model predicts that α-synuclein penetrates the membrane to constant depth across its length but that membrane affinity decreases toward the C terminus, which is consistent with orthogonal biophysical measurements. Finally, we discuss how parallelized chemical genetics experiments can provide a robust framework for inquiry-based graduate coursework.


Robust Sequence Determinants of α-Synuclein Toxicity in Yeast Implicate Membrane Binding

May 2020

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59 Reads

Protein conformations are shaped by cellular environments, but how environmental changes alter the conformational landscapes of specific proteins in vivo remains largely uncharacterized, in part due to the challenge of probing protein structures in living cells. Here, we use deep mutational scanning to investigate how a toxic conformation of α-synuclein, a dynamic protein linked to Parkinson's disease, responds to perturbations of cellular proteostasis. In the context of a course for graduate students in the UCSF Integrative Program in Quantitative Biology, we screened a comprehensive library of α-synuclein point mutants in yeast cells treated with a variety of small molecules that perturb cellular processes linked to α-synuclein biology and pathobiology. We found that the conformation of α-synuclein previously shown to drive yeast toxicity - an extended, membrane-bound helix - is largely unaffected by these chemical perturbations, underscoring the importance of this conformational state as a driver of cellular toxicity. On the other hand, the chemical perturbations have a significant effect on the ability of mutations to suppress α-synuclein toxicity. Moreover, we find that sequence determinants of α-synuclein toxicity are well described by a simple structural model of the membrane-bound helix. This model predicts that α-synuclein penetrates the membrane to constant depth across its length but that membrane affinity decreases toward the C terminus, which is consistent with orthogonal biophysical measurements. Finally, we discuss how parallelized chemical genetics experiments can provide a robust framework for inquiry-based graduate coursework.


Fig. 1. See next page for legend. 
Fig. 2. Hierarchical clustering of the fitnesses reveals four distinct clusters. Treatment with Cobalt and p-FP (magenta) cluster together and close to the previously described 'sensitizing treatments' (Mavor et al., 2016), DTT, Caffeine and HU (red). Treatment with Menadione, Cerulenin, Tunicamycin and 5-FC cluster with DMSO and the previously described 'alleviating treatment' MG132 (blue). 
Fig. 3. New perturbations reveal constraints on all but two Ub positions. (A) The minimum average fitness of each position was calculated in: (top) DMSO, Caffeine, DTT, HU and MG132 and (bottom) in all conditions. Minimum average fitness was determined by calculating the average fitness of each position in each condition and taking the minimum value. Positions were binned into tolerant (≥−0.075-Blue), intermediate (<−0.075 to >−0.35-Pink) and sensitive (≤−0.35-Red) and the distributions plotted. Calculating the minimum average fitness reveals how the new perturbations reveal additional constraints on the Ub fitness landscape. (B) Minimum average fitness score in: (left) DMSO, Caffeine, DTT, HU, and MG132 and (right) in all conditions mapped onto the Ub structure. C-alpha atoms are shown in spheres and the residues are colored according to average fitness. Met1 is colored grey. Treatment with Nickel, 3-AT and CaCl 2 cluster together (cyan) and close to the 'alleviating treatment' cluster. Treatment with AmpB, Rapamycin and Tamoxifen appear as outliers in this clustering (grey). The clustering was performed using euclidean distance between the vectors and used Ward's method to join the clusters. Clusters are colored based on the treatments being within 6 distance of each other. 
Fig. 4. See next page for legend. 
Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance

July 2018

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183 Reads

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26 Citations

Biology Open

Although the primary protein sequence of ubiquitin (Ub) is extremely stable over evolutionary time, it is highly tolerant to mutation during selection experiments performed in the laboratory. We have proposed that this discrepancy results from the difference between fitness under laboratory culture conditions and the selective pressures in changing environments over evolutionary timescales. Building on our previous work (Mavor et al., 2016), we used deep mutational scanning to determine how twelve new chemicals (3-Amino-1,2,4-triazole, 5-fluorocytosine, Amphotericin B, CaCl2, Cerulenin, Cobalt Acetate, Menadione, Nickel Chloride, p-Fluorophenylalanine, Rapamycin, Tamoxifen, and Tunicamycin) reveal novel mutational sensitivities of ubiquitin residues. Collectively, our experiments have identified eight new sensitizing conditions for Lys63 and uncovered a sensitizing condition for every position in Ub except Ser57 and Gln62. By determining the ubiquitin fitness landscape under different chemical constraints, our work helps to resolve the inconsistencies between deep mutational scanning experiments and sequence conservation over evolutionary timescales.



Structural heterogeneity and intersubject variability of Aβ in familial and sporadic Alzheimer’s disease

January 2018

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410 Reads

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120 Citations

Proceedings of the National Academy of Sciences

Significance An expanding body of evidence argues that the Aβ and tau proteins share important characteristics of prion propagation to cause pathogenesis in Alzheimer’s disease (AD). Aβ and tau form a number of amyloids (β-sheet–rich structures) with distinct conformations (“strains”), some of which give rise to different diseases and associated pathologies. We develop new probes of amyloid structure and use these to identify conformational strains of Aβ in heritable and sporadic forms of AD patient samples. We demonstrate that distinct strains of Aβ can be discerned in different disease types, or in different brain compartments within a given patient. Our findings may potentially explain the spectrum of clinical and pathologic features observed in AD.


De novo design of a hyperstable non-natural protein–ligand complex with sub-Å accuracy

August 2017

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103 Reads

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101 Citations

Nature Chemistry

Protein catalysis requires the atomic-level orchestration of side chains, substrates and cofactors, and yet the ability to design a small-molecule-binding protein entirely from first principles with a precisely predetermined structure has not been demonstrated. Here we report the design of a novel protein, PS1, that binds a highly electron-deficient non-natural porphyrin at temperatures up to 100 °C. The high-resolution structure of holo-PS1 is in sub-Å agreement with the design. The structure of apo-PS1 retains the remote core packing of the holoprotein, with a flexible binding region that is predisposed to ligand binding with the desired geometry. Our results illustrate the unification of core packing and binding-site definition as a central principle of ligand-binding protein design.


Research Advance: Extending chemical perturbations of the Ubiquitin fitness landscape in a classroom setting

May 2017

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24 Reads

Although the primary protein sequence of ubiquitin (Ub) is extremely stable over evolutionary time, it is highly tolerant to mutation during selection experiments performed in the laboratory. We have proposed that this discrepancy results from the difference between fitness under laboratory culture conditions and the selective pressures in changing environments over evolutionary time scales. Building on our previous work (Mavor et al 2016), we used deep mutational scanning to determine how twelve new chemicals (3-Amino-1,2,4-triazole, 5-fluorocytosine, Amphotericin B, CaCl 2 , Cerulenin, Cobalt Acetate, Menadione, Nickel Chloride, p-fluorophenylalanine, Rapamycin, Tamoxifen, and Tunicamycin) reveal novel mutational sensitivities of ubiquitin residues. We found sensitization of Lys63 in eight new conditions. In total, our experiments have uncovered a sensitizing condition for every position in Ub except Ser57 and Gln62. By determining the Ubiquitin fitness landscape under different chemical constraints, our work helps to resolve the inconsistencies between deep mutational scanning experiments and sequence conservation over evolutionary timescales. Builds on Mavor D, Barlow KA, Thompson S, Barad BA, Bonny AR, Cario CL, Gaskins G, Liu Z, Deming L, Axen SD, Caceres E, Chen W, Cuesta A, Gate R, Green EM, Hulce KR, Ji W, Kenner LR, Mensa B, Morinishi LS, Moss SM, Mravic M, Muir RK, Niekamp S, Nnadi CI, Palovcak E, Poss EM, Ross TD, Salcedo E, See S, Subramaniam M, Wong AW, Li J, Thorn KS, Conchúir SÓ, Roscoe BP, Chow ED, DeRisi JL, Kortemme T, Bolon DN, Fraser JS. Determination of Ubiquitin Fitness Landscapes Under Different Chemical Stresses in a Classroom Setting. eLife . 2016. Impact Statement We organized a project-based course that used deep mutational scanning in multiple chemical conditions to resolve the inconsistencies between tolerance to mutations in laboratory conditions and sequence conservation over evolutionary timescales.

Citations (6)


... While tau was known to be involved in AD pathology, its role in primary tauopathies and "frontotemporal lobar degeneration-tau" (FTLD-tau) cases was not known until monogenic missense and splice-site mutations were discovered in the MAPT gene [42,64,72]. Growing evidence argues that the pathological spread of misfolded tau in AD, Down syndrome, FTLD-tau, and other tauopathies is due to the self-templating and propagation of tau prions in the central nervous system (CNS) [5,10,21,25,44,66,78,81]. Strains of tau prions manifest distinct biochemical and neuropathological properties that are retained in serial passages in cell culture and in animal models [17, Jacob Ayers and T. Peter Lopez contributed equally to this work and co-first authors. ...

Reference:

Severe neurodegeneration in brains of transgenic rats producing human tau prions
Aβ and tau prions feature in the neuropathogenesis of Down syndrome

Proceedings of the National Academy of Sciences

... In prior work, we extensively characterized a large cohort of postmortem DS brain samples from several biorepositories in the United States and Europe using the following assays: (a) biochemical measurements of Aβ and tau species in soluble and insoluble fractions of bulk tissue homogenate, (b) immunohistochemical measurements of Aβ and tau species, and (c) cell-based prion bioassays for self-propagating Aβ and tau species [11,36]. In addition to the demographic and cliniconeuropathological details provided by each biorepository, we used our rich phenotypic dataset to prioritize a list of candidate samples from the medial frontal cortex for tau filament purification and structural characterization (see Supplementary Table S1). ...

Emergence of distinct and heterogeneous strains of amyloid beta with advanced Alzheimer’s disease pathology in Down syndrome

Acta Neuropathologica Communications

... Sherloc uses a semiquantitative point-based rubric for evaluating variant type, allele frequency, and clinical, functional and computational evidence. A likely benign classification and et al. 2020 ;Majithia 2016;Mighell et al. 2018;Matreyek et al. 2018;Brenan et al. 2016;Bandaru et al. 2017;Newberry et al. 2020;Chiasson et al. 2020;Starita et al. 2013;Melamed et al. 2013;Starita et al. 2015;Raraigh et al. 2018;Araya et al. 2012;Amorosi et al. 2021). Evaluating each MAVE dataset was critical because the performance of the resulting predictive models varied widely ( Supplementary Fig. 1). ...

Robust Sequence Determinants of α-Synuclein Toxicity in Yeast Implicate Membrane Binding
  • Citing Article
  • July 2020

ACS Chemical Biology

... The variance value of the second variable was not correlated with the first variable, thereby becoming the second principal component. The rest variables were ranked in the same manner [16]. The objective empowerment process of the PCA method was shown in Figure 1. ...

Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance

Biology Open

... Furthermore, we studied the emission intensity of the curcumin dye in presence of monomeric and oligomeric samples of WT tau and its mutants ( Figure 3c). This dye has been used in the field of amyloid research to study conformational heterogeneity in amyloid species based on its differential emission between 500 and 550 nm when excited at 467 nm (Condello et al., 2018;Saha et al., 2021). In the presence of WT tau monomer, we observed curcumin emission intensity of 1007 ± 37 a.u., while in the presence of A152T monomer it was 627 ± 72 a.u. ...

Structural heterogeneity and intersubject variability of Aβ in familial and sporadic Alzheimer’s disease

Proceedings of the National Academy of Sciences

... Recent advancements in design methodology, particularly spurred by advances in machine learning, have enabled the design of proteins that bind organic small molecules and cofactors tightly (low nM to pM). [4][5][6][7][8][9] However, until recently, the few successful examples of nM binders have depended on screening of a large library of designs or high-throughput evolution methods [4][5][10][11][12] and have been focused on those close to nature or with known binding sites in the PDB [4][5]9 . Attempts to design binding sites using de novo protein pseudo-cycles led to proteins with approximately 0.1 µM to 10 µM (prior to optimization) binding affinity for FITC-conjugated ligands. ...

De novo design of a hyperstable non-natural protein–ligand complex with sub-Å accuracy
  • Citing Article
  • August 2017

Nature Chemistry