An Anatomically Resolved Mouse Brain Proteome Reveals Parkinson Disease-relevant Pathways
Bibliographic record
Abstract
Here, we present a mouse brain protein atlas that covers 17 surgically distinct neuroanatomical regions of the adult mouse brain, each less than 1 mm3 in size. The protein expression levels are determined for 6,500 to 7,500 gene protein products from each region and over 12,000 gene protein products for the entire brain, documenting the physiological repertoire of mouse brain proteins in an anatomically resolved and comprehensive manner. We explored the utility of our spatially defined protein profiling methods in a mouse model of Parkinson's disease. We compared the proteome from a vulnerable region (substantia nigra pars compacta) of wild type and parkinsonian mice with that of an adjacent, less vulnerable, region (ventral tegmental area) and identified several proteins that exhibited both spatiotemporal- and genotype-restricted changes. We validated the most robustly altered proteins using an alternative profiling method and found that these modifications may highlight potential new pathways for future studies. This proteomic atlas is a valuable resource that offers a practical framework for investigating the molecular intricacies of normal brain function as well as regional vulnerability in neurological diseases. All of the mouse regional proteome profiling data are published on line at http://mbpa.bprc.ac.cn/. Here, we present a mouse brain protein atlas that covers 17 surgically distinct neuroanatomical regions of the adult mouse brain, each less than 1 mm3 in size. The protein expression levels are determined for 6,500 to 7,500 gene protein products from each region and over 12,000 gene protein products for the entire brain, documenting the physiological repertoire of mouse brain proteins in an anatomically resolved and comprehensive manner. We explored the utility of our spatially defined protein profiling methods in a mouse model of Parkinson's disease. We compared the proteome from a vulnerable region (substantia nigra pars compacta) of wild type and parkinsonian mice with that of an adjacent, less vulnerable, region (ventral tegmental area) and identified several proteins that exhibited both spatiotemporal- and genotype-restricted changes. We validated the most robustly altered proteins using an alternative profiling method and found that these modifications may highlight potential new pathways for future studies. This proteomic atlas is a valuable resource that offers a practical framework for investigating the molecular intricacies of normal brain function as well as regional vulnerability in neurological diseases. All of the mouse regional proteome profiling data are published on line at http://mbpa.bprc.ac.cn/. Recently, Allen Brain Atlas reported genome-wide gene expression patterns in the brains of adult and developing mice using high throughput in situ hybridization (ISH) 1The abbreviations used are: ISH, in situ hybridization; AUC, area under the curve; FDR, false discovery rate; HD, Huntington's disease; iBAQ, intensity-based absolute quantification; iFOT, fraction of total; iPAC, integrated peak alignment corrector; PD, Parkinson's disease; PD1.4, Proteome Discoverer 1.4 interface; PRM, parallel reaction monitoring; RMA, restful model access; RP, reverse phase; RSOP, region-specific outlier proteins; RT, retention time; SNc, substantia nigra pars compacta; sRP, small scale reverse phase; TG, transgenic; VTA, ventral tegmental area; XIC, extracted ion chromatogram; GP, gene protein product; XIC, extracted ion chromatogram; α-syn, α-synuclein; ACN, acetonitrile; Gldn, gliomedin; Ndn, necdin; HCD, High-energy collisional dissociation; OLF, Olfactory bulb; MY, Medulla; STR, Striatum; PSM, Peptide-spectrum match. 1The abbreviations used are: ISH, in situ hybridization; AUC, area under the curve; FDR, false discovery rate; HD, Huntington's disease; iBAQ, intensity-based absolute quantification; iFOT, fraction of total; iPAC, integrated peak alignment corrector; PD, Parkinson's disease; PD1.4, Proteome Discoverer 1.4 interface; PRM, parallel reaction monitoring; RMA, restful model access; RP, reverse phase; RSOP, region-specific outlier proteins; RT, retention time; SNc, substantia nigra pars compacta; sRP, small scale reverse phase; TG, transgenic; VTA, ventral tegmental area; XIC, extracted ion chromatogram; GP, gene protein product; XIC, extracted ion chromatogram; α-syn, α-synuclein; ACN, acetonitrile; Gldn, gliomedin; Ndn, necdin; HCD, High-energy collisional dissociation; OLF, Olfactory bulb; MY, Medulla; STR, Striatum; PSM, Peptide-spectrum match. (1.Lein E.S. Hawrylycz M.J. Ao N. Ayres M. Bensinger A. Bernard A. Boe A.F. Boguski M.S. Brockway K.S. Byrnes E.J. Chen L. Chen L. Chen T.M. Chin M.C. Chong J. et al.Genome-wide atlas of gene expression in the adult mouse brain.Nature. 2007; 445: 168-176Crossref PubMed Scopus (3669) Google Scholar, 2.Thompson C.L. Ng L. Menon V. Martinez S. Lee C.K. Glattfelder K. Sunkin S.M. Henry A. Lau C. Dang C. Garcia-Lopez R. Martinez-Ferre A. Pombero A. Rubenstein J.L. Wakeman W.B. et al.A high-resolution spatiotemporal atlas of gene expression of the developing mouse brain.Neuron. 2014; 83: 309-323Abstract Full Text Full Text PDF PubMed Scopus (169) Google Scholar), which provides mRNA expression information on murine brain anatomy at the single cell level, and this increased our understanding of the brain's architecture and function. In other studies, brain-region mRNAs were quantitatively measured by DNA microarray (3.Ning K. Fermin D. SAW: a method to identify splicing events from RNA-Seq data based on splicing fingerprints.PLoS One. 2010; 5: e12047Crossref PubMed Scopus (8) Google Scholar, 4.Ning K. Fermin D. Nesvizhskii A.I. Comparative analysis of different label-free mass spectrometry based protein abundance estimates and their correlation with RNA-Seq gene expression data.J. Proteome. Res. 2012; 11: 2261-2271Crossref PubMed Scopus (109) Google Scholar). Because mRNA levels are not necessarily proportional to protein levels (5.Maier T. Güell M. Serrano L. Correlation of mRNA and protein in complex biological samples.FEBS Lett. 2009; 583: 3966-3973Crossref PubMed Scopus (1184) Google Scholar), transcript profiling must be cross-validated by protein profiling. Until recently, several attempts have been made to identify region-specific distribution of proteins by proteomic profiling (6.Dagley L.F. White C.A. Liao Y. Shi W. Smyth G.K. Orian J.M. Emili A. Purcell A.W. Quantitative proteomic profiling reveals novel region-specific markers in the adult mouse brain.Proteomics. 2014; 14: 241-261Crossref PubMed Scopus (8) Google Scholar, 7.Eberlin L.S. Liu X. Ferreira C.R. Santagata S. Agar N.Y. Cooks R.G. Desorption electrospray ionization then MALDI mass spectrometry imaging of lipid and protein distributions in single tissue sections.Anal. Chem. 2011; 83: 8366-8371Crossref PubMed Scopus (119) Google Scholar, 8.Heijs B. Carreira R.J. Tolner E.A. de Ru A.H. van den Maagdenberg A.M. van Veelen P.A. McDonnell L.A. Comprehensive analysis of the mouse brain proteome sampled in mass spectrometry imaging.Anal. Chem. 2015; 87: 1867-1875Crossref PubMed Scopus (39) Google Scholar); however, these studies suffered from inadequate protein coverage with each covering only 1,000 to 2,000 proteins. In 2015, Sharma et al. (9.Sharma K. Schmitt S. Bergner C.G. Tyanova S. Kannaiyan N. Manrique-Hoyos N. Kongi K. Cantuti L. Hanisch U.K. Philips M.A. Rossner M.J. Mann M. Simons M. Cell type- and brain region-resolved mouse brain proteome.Nat. Neurosci. 2015; PubMed Scopus Google reported a mouse cell type and brain regional proteome that 12,000 gene products in as as of This an profiling and the for to this profiling. of a region-specific proteome from the that most brain are to a brain Parkinson's and Huntington's are both by protein and in PD, in HD, in the S. vulnerability in from to 2011; Full Text Full Text PDF PubMed Scopus Google Scholar). The proteins for regional and vulnerability in most to proteome profiling of the brain with a that surgically to regions most by neurological valuable information and pathways for In this we to proteomic profiling is in as as of tissue with 1 of and we this to from a mouse model of used in this were in a with a with to and in an mice to All mice were by the and for of and The wild type mice were used for brain regional proteome profiling the Parkinson's mice line were a from and S.M. J. M.S. and in mice Neurosci. PubMed Scopus Google Scholar, M. M. D. in mice from the and Neurosci. Res. PubMed Scopus Google Scholar). The mice were used for and were used for to the of the on the C. mouse model of Parkinson's the 2012; PubMed Scopus Google Scholar). The mouse model on and at and of as were using an of at and of by of to and of on the of mouse brain with mouse mice were by with and to of mouse the to a and the and using to and from tissue of the the by of the and of the a made in the to of a the of the of the the to the and a to made in the of the to and to The of adult mouse is at by of mouse brains were and on a adult mouse brain to of 17 mouse brain regions were then using a were by in of 1 and then using and at were then at for All were measured using a and of proteins were with of at the an of to the which were then for at were extracted by and at for 1 The extracted with and using and at were in by and to reverse made from a by of on of the were with of and on the with with of of and with and and for in of and of the were to analysis with a to mass mass with a of each of high is as of We of each that of used for single mass The were an which the with and with an with in The were with a of at a of were a mass brain region profiling on and The in the under of at with at by the were by with and 1 and by ion with of 1 and of Parkinson's mouse model profiling by at at by the were by with by High-energy collisional with and by ion with and of were in Proteome Discoverer 1.4 with modifications of of the and of were The mass with mass of and a of were with false discovery using based on used to protein The from were then to the and an for and protein and which is a to estimates for the which information from the protein retention and be extracted ion peak for the the The were by A. M.J. and of data by Chem. Scopus Google Scholar), and peak were by of a Google Scholar). is correlation the peak area and the protein We a function based on identified to correlation our function. We then of and the of the based on the and the the peak area of peak area were of proteins. studies this the of protein is a that gene products and protein by and ion and by distribution of and The were based on a of their ion and The have of and have Peptide-spectrum have ion of have ion in have ion and have ion The with ion of were of to that were identified by and alignment to different a match. The protein gene were as and were defined based on the distributions and of the as measured by The protein products that have have the distinct of were the at with and the the The of protein products identified by of to and proteins with of were The then be at with each the and The of this are as gene of protein in a and with by proteins to their area this to not only in protein with is for to both and with The both and for and for by for expression from and protein profiling studies, of and a function to protein this This information is in parallel with mass spectrometry and are regional outlier gene products from 17 regions profiling and outlier proteins from Parkinson's model we using mass on for each proteins were for of were at each with of for for 17 regions profiling and for profiling of Parkinson's were with a with of and of by and by by were at with of in by the to by and then to with data We validated each by and the the of the area of the for each ion used for the In the of 17 regions to the data and were as a of each protein and by The protein by of from to the protein by with and of were for The by as and by The protein used for data with the 17 different correlation were by were adult mouse expression data from the Allen for Brain we Brain Atlas their we for in 1 high data gene expression the adult mouse the the expression for the brain in for these the This in expression of these to the of that for brain in The of gene products in these in this brain in the Allen Brain data our for proteomic profiling. we were to of expression and mass protein levels for these brain proteomic and the of and gene products to in both and of and were from both and abundance were to with gene products and brain the with a of and the with a of We the based on their brain regions and on the and The the for each gene as and are the for gene in and ISH, We this method is to high absolute than other correlation as the the and not their We the to the the is not for and expression protein abundance is brain The for and were as for each is the The for the were to for and for high We correlation with expression in brain with protein protein protein levels with different and expression and protein as in we and protein abundance levels for each gene and brain region to for in these we found that each protein be based on their abundance We of these based on their we not proteins in the and only the gene in brain regions in over of from the were for analysis this the in the were with of the in the entire of this the analysis the This for the different The were using method to for and to a protein a of and than brain regional proteome biological from the 17 regions were measured with and to from biological and were The data have been to the the with the the mouse model biological from the and region of wild type and mouse were measured with mouse data have been to the the with the We a resolved proteome using 17 brain regions We used the of each of the brain and for we both and of the region to for of proteome We a of tissue in and 1 to be the of the We a that to proteins from this small of tissue by the tissue with protein and then we extracted the for We a reverse to and to the is a method compared with protein and a high of biological C. J. J. Liu W. W. Liu M. T. T. L. W. C. Y. J. L. A. et al.A for and of Full Text Full Text PDF PubMed Scopus Google Scholar). The of the to the of the high to distribution of the entire to coverage spectrometry and are under label-free fraction of an to be than B. D. N. J. J. Chen W. M. of gene expression 2011; PubMed Scopus Google The and of the are under The from a of of label-free from to the with an the of We measured biological from the 17 regions to for for potential mass we measured the with and to We biological we from biological and of the data were using of used as as and the The correlation is in these we measured and were to a mouse brain atlas covering 17 regions of distinct protein distribution using a of of The of gene protein products from to for each region 12,000 were identified for the 17 brain The of the protein abundance in the proteome from each mouse brain region of analysis in and from to with of coverage from a as in the region We for region-specific outlier gene were identified based on and of the of each region the of other The of is in of proteins were identified as The in each region are in and the is as for in a published we identified from our data with identified by Sharma et al. (9.Sharma K. Schmitt S. Bergner C.G. Tyanova S. Kannaiyan N. Manrique-Hoyos N. Kongi K. Cantuti L. Hanisch U.K. Philips M.A. Rossner M.J. Mann M. Simons M. Cell type- and brain region-resolved mouse brain proteome.Nat. Neurosci. 2015; PubMed Scopus Google in a the and We found a high of of these and this the of we abundance with a analysis PRM, using a type of mass M.S. reaction for high and high mass 2012; 11: Full Text Full Text PDF PubMed Scopus Google Scholar). data with proteomic profiling we by at each protein over data were in from to and data were in the a of of identified by profiling with of and these data of to this for label-free proteome profiling. Brain regions in their and to these been (1.Lein E.S. Hawrylycz M.J. Ao N. Ayres M. Bensinger A. Bernard A. Boe A.F. Boguski M.S. Brockway K.S. Byrnes E.J. Chen L. Chen L. Chen T.M. Chin M.C. Chong J. et al.Genome-wide atlas of gene expression in the adult mouse brain.Nature. 2007; 445: 168-176Crossref PubMed Scopus (3669) Google Scholar, M.J. E.S. Ng L. van de A. C. Bernard A. D. Boe A.F. et anatomically comprehensive atlas of the adult brain 2012; PubMed Scopus Google Scholar, A.I. T. S. D. J. R. M. gene atlas of the mouse and PubMed Scopus Google Scholar). these to protein abundance in correlation mRNA and protein we compared our profiling to the Allen Brain Atlas (1.Lein E.S. Hawrylycz M.J. Ao N. Ayres M. Bensinger A. Bernard A. Boe A.F. Boguski M.S. Brockway K.S. Byrnes E.J. Chen L. Chen L. Chen T.M. Chin M.C. Chong J. et al.Genome-wide atlas of gene expression in the adult mouse brain.Nature. 2007; 445: 168-176Crossref PubMed Scopus (3669) Google Scholar). we in methods and these studies, we were to for regions and This not to be expression to as for expression a brain are This analysis a method to to of and protein We of gene products found both in our profiling and Allen Brain Atlas We based the on the of and distributions and on their that not be We found that of correlation and proteins the of correlation a expression and protein abundance for region-specific proteins. In to of proteins from our with Allen Brain data We found that expression and abundance of proteins the of mRNA expression that the levels of their mRNA proteins. gene products as in We found that these gene products that were proportional to their transcript expression their protein each to their we found that each be as and are in and an of each is in the not on absolute expression protein gene products of different in regions as in proteins of abundance and expression at high expression The with is of and protein This may be to with the In the correlation of protein abundance the 17 we found that protein abundance in an the of these regions we found the distinct which to the brain regions in T.M. of the and the and the and The of proteomic in the the of the sampled brain we found that the of region-specific proteins to and function that T. M. of the in substantia nigra 2012; PubMed Scopus Google and in M. of of Neurosci. 2011; 5: PubMed Scopus Google were by the identified in the cell markers as identified the cell type found in the M. of of Neurosci. 2011; 5: PubMed Scopus Google Scholar), and identified proteins that are at a to the as and T. M. of the in substantia nigra 2012; PubMed Scopus Google Scholar). be made in the of A. S. M. The of on cell Res. 2014; 83: PubMed Scopus Google and M. D. R. Y. proteins are to parallel of Neurosci. PubMed Scopus Google are well by several markers the were as proteins in and of and the of these to different regions M.J. L. M. N. to that 2014; PubMed Scopus Google Scholar, M. of Full Text Full Text PDF PubMed Scopus Google Scholar). be used as a proteomic that for and and may as a which of regions may be the utility of our we to anatomically resolved for an mouse model of Parkinson's disease. We mice TG, as a model as of and M. M. D. in mice from the and Neurosci. Res. PubMed Scopus Google Scholar). we on the substantia nigra pars as the region to to vulnerability in and to the SNc, we the as a which is in L. of vulnerability in Parkinson's an 2014; PubMed Scopus Google Scholar). have a on the of proteomic brain regions in these we proteomic profiling on mice and of We these as and to we identify the protein that may be by of the and by and tissue using a high We found that at different to a in the SNc, with using alternative methods C. mouse model of Parkinson's the 2012; PubMed Scopus Google Scholar). gene protein correlation high and mice at which that of only in the protein distribution we a of gene products in the mice at and in the at and compared with the in the at with expression and We explored the in a spatiotemporal we at the regional the and the several proteomic were at we were to a for proteins as and in the compared with the in the of these we validated a of these using and a high and of our profiling with We at the mice over and their wild type We found that gene different that the of are we found that mice increased markers of and and at a of validated using PRM, be with the of cell that in these mice over the of their Lee L. J. in mice wild type 2012; PubMed Scopus Google Scholar, de M. C.A. A. J. Sharma A. L. N. L. J. the and of both and 5: PubMed Scopus Google Scholar). we to we our data and to identify that may be for We for that may be to the in the region of the mice over We found that and their levels increased in the over in the of and We to may in the and are In this we found that as and are in the mice are in of and and these that are spatiotemporal that in mice and that the events may be as novel pathways for the events to In this we a spatially defined proteomic of the mouse brain and used this to and disease. We the for proteome profiling in than of mass to 6,500 to 7,500 gene protein products from brain the of this we of a that at cell type- and brain region-resolved mouse brain proteome (9.Sharma K. Schmitt S. Bergner C.G. Tyanova S. Kannaiyan N. Manrique-Hoyos N. Kongi K. Cantuti L. Hanisch U.K. Philips M.A. Rossner M.J. Mann M. Simons M. Cell type- and brain region-resolved mouse brain proteome.Nat. Neurosci. 2015; PubMed Scopus Google Scholar). In that (9.Sharma K. Schmitt S. Bergner C.G. Tyanova S. Kannaiyan N. Manrique-Hoyos N. Kongi K. Cantuti L. Hanisch U.K. Philips M.A. Rossner M.J. Mann M. Simons M. Cell type- and brain region-resolved mouse brain proteome.Nat. Neurosci. 2015; PubMed Scopus Google Scholar), the mouse brain surgically distinct and used these as a for protein profiling. of 12,000 proteins each brain on their we of 17 distinct brain regions and the our studies. The throughput of proteome for scale In to high throughput our label-free a high that as as of tissue The high of this for proteome profiling of small from and complex is we found that the of the proteins we identified of This well with most of the published proteome profiling of of proteome with N. J. Mann M. of murine 2014; Full Text Full Text PDF PubMed Scopus Google Scholar, M. A. J. M. A. A. J. R. The proteome of a cell 2011; PubMed Scopus Google Scholar). This our method to proteins of a of for the our method to proteins from to and Because our protein compared with using (9.Sharma K. Schmitt S. Bergner C.G. Tyanova S. Kannaiyan N. Manrique-Hoyos N. Kongi K. Cantuti L. Hanisch U.K. Philips M.A. Rossner M.J. Mann M. Simons M. Cell type- and brain region-resolved mouse brain proteome.Nat. Neurosci. 2015; PubMed Scopus Google Scholar), is to of proteins. We found of of from the Cell Atlas D. A. T. A. C. R. A. A. et al.A mass cell protein One. 2015; PubMed Scopus Google Scholar). of the reported proteins be identified using this This that our to proteins. this in the of a spatially of the entire mouse brain 1 be in the future Lee L. J. in mice wild type 2012; PubMed Scopus Google Scholar, de M. C.A. A. J. Sharma A. L. N. L. J. the and of both and 5: PubMed Scopus Google Scholar). The of proteomic in the the of the of the brain regions sampled in this provides an and to identify proteins that are region-specific and to and function The utility of the mouse brain proteome be in of and to as the by the Allen Brain to our both and the identified in our the that were not found in the brain region by that are by cell that of the of that and that are with in the brain these new as well as of the of a gene in the of and disease. we our to the biological are brain regions to in our in and we to the proteome spatially and are and have regions that are in Parkinson's the and the the of this we were to a to this by at of disease. this we were to several of proteins abundance altered in the over the the we for by at markers of as and The identified as a resource to the and a for in the of vulnerability in at spatiotemporal in gene products the and the VTA, we found that proteins as and were altered at an are with the that is with and the proteins to a in may be D. D. function and on 2014; PubMed Google Scholar). these proteins in the and be a in studies that a of these altered proteins the of we at we found that proteomic were gene over to a of we found that the of and proteins at the of the This is with the by the and the in the of a that of the proteins in our in and the of of C. J. to the proteins of and PubMed Scopus Google Scholar, R. D. K. A. M. of in a model for the and of in brain.Neuron. Full Text PDF PubMed Scopus Google Scholar). we to identify that may be to in a spatiotemporal and manner. We found that and as as exhibited an in the over and as as exhibited an in the over the function of these proteins in the of are not at this of their in function in the of of in the of our mouse brain proteome the for proteins of gene products to new pathways for of that are in brain regions in the vulnerability of in of neurological disease. We for and of the with
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".