Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:30066193

Approaching cellular resolution and reliable identification in mass spectrometry imaging of tryptic peptides.

Katharina Huber · Pegah Khamehgir-Silz · Thorsten Schramm · Vladimir Gorshkov · Bernhard Spengler · Andreas Römpp

Analytical and bioanalytical chemistry · 2018 doi:10.1007/s00216-018-1199-z

Paper

complete

Experiment

complete

Data

partial

Analysis

absent

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:30066193
kind
science-record
content_hash
sha256:0e1d2753cc16e9f3308fdeb8f7873ed9d08f69fd70e87c520b3bf14f62d63d2b
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:36Z
updated_at
2026-11-01T18:49:43Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Approaching cellular resolution and reliable identification in mass spectrometry imaging of tryptic peptides.
doi
10.1007/s00216-018-1199-z
pmid
30066193
authors array · 6 items
[0]
Katharina Huber
[1]
Pegah Khamehgir-Silz
[2]
Thorsten Schramm
[3]
Vladimir Gorshkov
[4]
Bernhard Spengler
[5]
Andreas Römpp
journal
Analytical and bioanalytical chemistry
year
2018
abstract
On-tissue digestion has become the preferred method to identify proteins in mass spectrometry (MS) imaging. In this study, we report advances in data acquisition and protein identification for MS imaging after on-tissue digestion. Tryptic peptides in a coronal mouse brain section were measured at 50 μm pixel size and revealed detailed histological structures, e.g., the ependyma (consisting of one to two cell layers), which was confirmed by H&E staining. This demonstrates that MS imaging of tryptic peptides at or close to cellular resolution is within reach. We also describe a detailed identification workflow which resulted in the identification of 99 proteins (with 435 corresponding peptides), based on comparison with LC-MS/MS data and in silico digest. These results were obtained with stringent parameters, including high mass accuracy in imaging mode (RSME < 3 ppm) and at least two unique peptides per protein showing consistent spatial distribution. We identified almost 50% of proteins with at least four corresponding peptides. As there is no agreed approach for identification of proteins after on-tissue digestion yet, we discuss our workflow in detail and make the corresponding mass spectral data available as "open data" via ProteomeXchange (identifier PXD003172). With this, we would like to contribute to a more effective discussion and the development of new approaches for tryptic peptide identification in MS imaging. From an experimental point of view, we demonstrate the improvement due to the combination of high spatial resolution and high mass resolution/mass accuracy on a measurement at 25 μm pixel size in mouse cerebellum tissue. A whole body section of a mouse pub imaged at 50 μm pixel size (40 GB, 230,000 spectra) demonstrates the stability of our protocol. For this data set, we developed a workflow that is based on conversion to the common data format imzML and sequential application of freely available software tools. In combination, the presented results for spatial resolution, protein identification, and data processing constitute significant improvements for the field of on-tissue digestion. Graphical abstract MS imaging of coronal mouse brain cerebellum with a pixel size of 25 μm: A Optical image, B myelin staining, C H&E staining, and D MS image overlay (RGB) of tryptic peptides m/z = 726.4045 ± 0.005, HGFLPR + H+ (red), m/z = 536.3173 ± 0.005, AKPAK + Na+ (green), and m/z = 994.5436 ± 0.005, WRQLIEK + Na+ (blue).
claims array · 2 items
[0] object · 6 fields
id
claim-data-access
statement
In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54].
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:30066193
locator
sections[12] "Identification workflow" paragraph 12
quote
In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54].
state
complete
[1] object · 6 fields
id
claim-target-result
statement
The identification workflow, based on comparison with LC-MS/MS data and in silico digestion, identified 99 proteins with 435 corresponding peptides.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:30066193
locator
sections[0] "Abstract" paragraph 1
quote
We also describe a detailed identification workflow which resulted in the identification of 99 proteins (with 435 corresponding peptides), based on comparison with LC-MS/MS data and in silico digest.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
The identification workflow, based on comparison with LC-MS/MS data and in silico digestion, identified 99 proteins with 435 corresponding peptides.
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:30066193
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:PXD003172
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:PXD003172
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:30066193
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1007/s00216-018-1199-z
sha256
sha256:eddb6adb8970354b6c80c2de32d9324b521d94967878e2aad2d8409491fbf1d1
bytes
63242
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1007/s00216-018-1199-z
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC6096711
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:PXD003172
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=PXD003172
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
PXD003172
version
null
note
In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54].
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54].
access_statement_kind
data_availability_statement
sample_accessions array · 0 items
sample_count
null
group_sizes
null
group_sizes_basis
null
platform
null
taxon
null
title
MS imaging of tryptic peptides in mouse brain measured at 50 µm pixel size
resolution_checked_at
2026-10-31T18:35:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:PXD003172 not downloaded
[1]
asset:data:geo:PXD003172 licence not read
analysis object · 4 fields
state
absent
methods array · 0 items
targets array · 0 items
gaps array · 2 items
[0]
method
[1]
operations
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
blocked
tier
R4
blocking_axis
method
blocked_on
method:not_determinable
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (not named), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
PXD003172
resolved_accessions array · 1 item
[0]
PXD003172
statements array · 1 item
[0]
In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54].
basis
The paper names PXD003172 in PRIDE and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 2 items
[0]
source:pmid:30066193
[1]
data:geo:PXD003172
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:PXD003172
gaps array · 1 item
[0]
method:not_determinable
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:35:14Z
independence
same_provider
evidence_check object · 2 fields
method
null
availability
verbatim
calls
8
usage object · 3 fields
prompt_tokens
127734
completion_tokens
4152
cached_tokens
2096
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:30066193
type
paper
label
pmid:30066193
[1] object · 3 fields
id
source:pmid:30066193
type
manuscript
label
PMID 30066193 full text
[2] object · 3 fields
id
data:geo:PXD003172
type
dataset
label
GEO PXD003172
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:30066193
type
paper
label
pmid:30066193
[1] object · 3 fields
id
source:pmid:30066193
type
manuscript
label
PMID 30066193 full text
[2] object · 3 fields
id
data:geo:PXD003172
type
dataset
label
GEO PXD003172
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-30066193
type
extraction
used array · 1 item
[0]
source:pmid:30066193
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-PXD003172
type
accession_resolution
used array · 1 item
[0]
data:geo:PXD003172
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:30066193
parent_hash
sha256:9770503d5eea0378d05e463cb1c8ee3ebe44daf2ae92c81c792dfec31a840250
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:PXD003172 licence not read
[1]
asset:data:geo:PXD003172 not downloaded
[2]
execution.not_run
[3]
method
[4]
operations
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
mass_spectrometry
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
ar resolution and reliable identification in mass spectrometry imaging of tryptic peptides.
[1]
the preferred method to identify proteins in mass spectrometry (MS) imaging. In this study, we report advan
[2]
sponding peptides), based on comparison with LC-MS/MS data and in silico digest. These results wer
[3]
c peptides is based on a comparison with the LC-MS/MS measurements of a homogenized adjacent secti
order_basis
paper_text_order:18
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
animal_model
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
sue digestion. Tryptic peptides in a coronal mouse brain section were measured at 50 μm pixel s
[1]
racy on a measurement at 25 μm pixel size in mouse cerebellum tissue. A whole body section of a
[2]
cerebellum tissue. A whole body section of a mouse pub imaged at 50 μm pixel size (40 GB, 230,0
[3]
on. Graphical abstract MS imaging of coronal mouse brain cerebellum with a pixel size of 25 μm:
order_basis
paper_text_order:326
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30066193", "kind": "science-record", "revision": 5, "content_hash": "sha256:0e1d2753cc16e9f3308fdeb8f7873ed9d08f69fd70e87c520b3bf14f62d63d2b", "created_at": "2026-11-01T15:40:36Z", "updated_at": "2026-11-01T18:49:43Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Approaching cellular resolution and reliable identification in mass spectrometry imaging of tryptic peptides.", "doi": "10.1007/s00216-018-1199-z", "pmid": "30066193", "authors": ["Katharina Huber", "Pegah Khamehgir-Silz", "Thorsten Schramm", "Vladimir Gorshkov", "Bernhard Spengler", "Andreas Römpp"], "journal": "Analytical and bioanalytical chemistry", "year": 2018, "abstract": "On-tissue digestion has become the preferred method to identify proteins in mass spectrometry (MS) imaging. In this study, we report advances in data acquisition and protein identification for MS imaging after on-tissue digestion. Tryptic peptides in a coronal mouse brain section were measured at 50 μm pixel size and revealed detailed histological structures, e.g., the ependyma (consisting of one to two cell layers), which was confirmed by H&E staining. This demonstrates that MS imaging of tryptic peptides at or close to cellular resolution is within reach. We also describe a detailed identification workflow which resulted in the identification of 99 proteins (with 435 corresponding peptides), based on comparison with LC-MS/MS data and in silico digest. These results were obtained with stringent parameters, including high mass accuracy in imaging mode (RSME < 3 ppm) and at least two unique peptides per protein showing consistent spatial distribution. We identified almost 50% of proteins with at least four corresponding peptides. As there is no agreed approach for identification of proteins after on-tissue digestion yet, we discuss our workflow in detail and make the corresponding mass spectral data available as \"open data\" via ProteomeXchange (identifier PXD003172). With this, we would like to contribute to a more effective discussion and the development of new approaches for tryptic peptide identification in MS imaging. From an experimental point of view, we demonstrate the improvement due to the combination of high spatial resolution and high mass resolution/mass accuracy on a measurement at 25 μm pixel size in mouse cerebellum tissue. A whole body section of a mouse pub imaged at 50 μm pixel size (40 GB, 230,000 spectra) demonstrates the stability of our protocol. For this data set, we developed a workflow that is based on conversion to the common data format imzML and sequential application of freely available software tools. In combination, the presented results for spatial resolution, protein identification, and data processing constitute significant improvements for the field of on-tissue digestion. Graphical abstract MS imaging of coronal mouse brain cerebellum with a pixel size of 25 μm: A Optical image, B myelin staining, C H&E staining, and D MS image overlay (RGB) of tryptic peptides m/z = 726.4045 ± 0.005, HGFLPR + H+ (red), m/z = 536.3173 ± 0.005, AKPAK + Na+ (green), and m/z = 994.5436 ± 0.005, WRQLIEK + Na+ (blue).", "claims": [{"id": "claim-data-access", "statement": "In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30066193", "locator": "sections[12] \"Identification workflow\" paragraph 12", "quote": "In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54]."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The identification workflow, based on comparison with LC-MS/MS data and in silico digestion, identified 99 proteins with 435 corresponding peptides.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:30066193", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "We also describe a detailed identification workflow which resulted in the identification of 99 proteins (with 435 corresponding peptides), based on comparison with LC-MS/MS data and in silico digest."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The identification workflow, based on comparison with LC-MS/MS data and in silico digestion, identified 99 proteins with 435 corresponding peptides.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:30066193"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:PXD003172"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:PXD003172"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:30066193", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1007/s00216-018-1199-z", "sha256": "sha256:eddb6adb8970354b6c80c2de32d9324b521d94967878e2aad2d8409491fbf1d1", "bytes": 63242, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1007/s00216-018-1199-z", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6096711", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:PXD003172", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=PXD003172", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "PXD003172", "version": null, "note": "In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54].", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54].", "access_statement_kind": "data_availability_statement", "sample_accessions": [], "sample_count": null, "group_sizes": null, "group_sizes_basis": null, "platform": null, "taxon": null, "title": "MS imaging of tryptic peptides in mouse brain measured at 50 µm pixel size", "resolution_checked_at": "2026-10-31T18:35:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:PXD003172 not downloaded", "asset:data:geo:PXD003172 licence not read"]}, "analysis": {"state": "absent", "methods": [], "targets": [], "gaps": ["method", "operations"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "blocked", "tier": "R4", "blocking_axis": "method", "blocked_on": "method:not_determinable", "axes": {"method": {"tier": "R4", "expressible": false, "required_operations": [], "missing_operations": [], "basis": "The reader quoted the method the paper names (not named), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["PXD003172"], "resolved_accessions": ["PXD003172"], "statements": ["In order to facilitate this process, we have made our data set available in the public repository PRIDE so that other groups can use it as a test case for their own (software-based) approaches and compare it with our results. The data set is available via ProteomeXchange (http://www.proteomexchange.org/) with identifier PXD003172. The data can be downloaded in the common data format imzML [45] and viewed in open-source software, as described recently [54]."], "basis": "The paper names PXD003172 in PRIDE and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:30066193", "data:geo:PXD003172"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:PXD003172"]}, "gaps": ["method:not_determinable"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:35:14Z", "independence": "same_provider"}, "evidence_check": {"method": null, "availability": "verbatim"}, "calls": 8, "usage": {"prompt_tokens": 127734, "completion_tokens": 4152, "cached_tokens": 2096}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:30066193", "type": "paper", "label": "pmid:30066193"}, {"id": "source:pmid:30066193", "type": "manuscript", "label": "PMID 30066193 full text"}, {"id": "data:geo:PXD003172", "type": "dataset", "label": "GEO PXD003172"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:30066193", "type": "paper", "label": "pmid:30066193"}, {"id": "source:pmid:30066193", "type": "manuscript", "label": "PMID 30066193 full text"}, {"id": "data:geo:PXD003172", "type": "dataset", "label": "GEO PXD003172"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-30066193", "type": "extraction", "used": ["source:pmid:30066193"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-PXD003172", "type": "accession_resolution", "used": ["data:geo:PXD003172"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:30066193", "parent_hash": "sha256:9770503d5eea0378d05e463cb1c8ee3ebe44daf2ae92c81c792dfec31a840250", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:PXD003172 licence not read", "asset:data:geo:PXD003172 not downloaded", "execution.not_run", "method", "operations", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "mass_spectrometry", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ar resolution and reliable identification in mass spectrometry imaging of tryptic peptides.", "the preferred method to identify proteins in mass spectrometry (MS) imaging. In this study, we report advan", "sponding peptides), based on comparison with LC-MS/MS data and in silico digest. These results wer", "c peptides is based on a comparison with the LC-MS/MS measurements of a homogenized adjacent secti"], "order_basis": "paper_text_order:18", "id": "assay:1"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["sue digestion. Tryptic peptides in a coronal mouse brain section were measured at 50 μm pixel s", "racy on a measurement at 25 μm pixel size in mouse cerebellum tissue. A whole body section of a", "cerebellum tissue. A whole body section of a mouse pub imaged at 50 μm pixel size (40 GB, 230,0", "on. Graphical abstract MS imaging of coronal mouse brain cerebellum with a pixel size of 25 μm:"], "order_basis": "paper_text_order:326", "id": "assay:2"}]}