Evidence map›Paper›PMID 38328197›Full record

ArticlebioRxiv : the preprint server for biology2024

Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications.

Claudia Ctortecka, Natalie M Clark, Brian Boyle, Anjali Seth, D R Mani, Namrata D Udeshi, Steven A Carr

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 18 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Claudia CtorteckaBroad Institute of MIT and Harvard, 415 Main Street, 02142 Cambridge, MA, USA.ORCID 0000-0002-6886-8936
Natalie M ClarkBroad Institute of MIT and Harvard, 415 Main Street, 02142 Cambridge, MA, USA.ORCID 0000-0003-0988-321X
Brian BoyleBroad Institute of MIT and Harvard, 415 Main Street, 02142 Cambridge, MA, USA.
Anjali SethCellenion SASU, 60F avenue Rockefeller, 69008 Lyon, France.ORCID 0000-0003-4701-2562
D R ManiBroad Institute of MIT and Harvard, 415 Main Street, 02142 Cambridge, MA, USA.ORCID 0000-0003-3914-133X
Namrata D UdeshiBroad Institute of MIT and Harvard, 415 Main Street, 02142 Cambridge, MA, USA.ORCID 0000-0001-5312-1402
Steven A CarrBroad Institute of MIT and Harvard, 415 Main Street, 02142 Cambridge, MA, USA.
Broad Institute · US

Funding

ProteomicsP01CA206978 · NCI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2016 to 2025
$17.0M
Center of Excellence for High Throughput Proteogenomic CharacterizationU24CA270823 · NCI · BROAD INSTITUTE, INC. · PI STEVEN A CARR, MICHAEL A GILLETTE · 2022 to 2026
$5.3M
Proteogenomic Predictors of Recurrence in Non-small Cell Lung CancerU01CA271402 · NCI · WASHINGTON UNIVERSITY · PI STEVEN A CARR, MICHAEL A GILLETTE · 2022 to 2026
$5.0M
Center for comprehensive proteogenomic data analysisU24CA271075 · NCI · BROAD INSTITUTE, INC. · PI GAD A GETZ, Denkanikota R Mani · 2022 to 2026
$3.9M
NCI NIH HHS P01 CA206978NCI NIH HHS U01 CA271402NCI NIH HHS U24 CA270823NCI NIH HHS U24 CA271075
6 · The paper itself

Abstract

Mass spectrometry (MS)-based single-cell proteomics (SCP) has gained massive attention as a viable complement to other single cell approaches. The rapid technological and computational advances in the field have pushed the boundaries of sensitivity and throughput. However, reproducible quantification of thousands of proteins within a single cell at reasonable proteome depth to characterize biological phenomena remains a challenge. To address some of those limitations we present a combination of fully automated single cell sample preparation utilizing a dedicated chip within the picolitre dispensing robot, the cellenONE. The proteoCHIP EVO 96 can be directly interfaced with the Evosep One chromatographic system for in-line desalting and highly reproducible separation with a throughput of 80 samples per day. This, in combination with the Bruker timsTOF MS instruments, demonstrates double the identifications without manual sample handling. Moreover, relative to standard high-performance liquid chromatography, the Evosep One separation provides further 2-fold improvement in protein identifications. The implementation of the newest generation timsTOF Ultra with our proteoCHIP EVO 96-based sample preparation workflow reproducibly identifies up to 4,000 proteins per single HEK-293T without a carrier or match-between runs. Our current SCP depth spans over 4 orders of magnitude and identifies over 50 biologically relevant ubiquitin ligases. We complement our highly reproducible single-cell proteomics workflow to profile hundreds of lipopolysaccharide (LPS)-perturbed THP-1 cells and identified key regulatory proteins involved in interleukin and interferon signaling. This study demonstrates that the proteoCHIP EVO 96-based SCP sample preparation with the timsTOF Ultra provides sufficient proteome depth to study complex biology beyond cell-type classifications.

Identifiers

PMID38328197
PMCPMC10849471
OpenAlexW4391110990

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.