Nat Commun April 2023 PMID 37005414

Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging.

Denis Abu Sammour, James L Cairns, Tobias Boskamp, Christian Marsching, Tobias Kessler, Carina Ramallo Guevara, Verena Panitz, Ahmed Sadik, Jonas Cordes, Stefan Schmidt, Shad A Mohammed, Miriam F Rittel, Mirco Friedrich, Michael Platten, Ivo Wolf

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Peak: 6 in Apr 2023

across 2 sources since Oct 2021

Extended reach

165,918

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Oct 2021 – Jul 2023

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YouTube1 videos

AI synopsis

What people are saying

The group’s discussions reflect strong interest and moderate engagement, primarily through recognizing the innovative probabilistic mapping framework and its reproducibility benefits, exemplified by comments praising the inclusion of RRIDs and noting the potential for improved reliability in mass spectrometry imaging; the tone is supportive and informative, emphasizing methodological advancements and scientific rigor.

AgreementModerate agreement

Most posts acknowledge and support the significance of the publication, highlighting its innovative approach and reproducibility benefits.

InterestHigh interest

Discussions reveal high interest, especially among those involved in mass spectrometry and bioinformatics, evidenced by enthusiasm in phrases like 'spatial probabilistic mapping' and emphasis on tools like RRIDs.

EngagementModerate engagement

Posts show moderate engagement, with mentions of specific methods, frameworks, and the importance of reproducibility, but limited deep commentary or critique.

ImpactModerate impact

The shared posts suggest the research could influence future methodologies in metabolite imaging, but overall impact perceptions are moderate, as most focus on recognition rather than transformative potential.

Abstract in brief

The text discusses the limitations of current mass spectrometry imaging methods, which mainly rely on ion images that do not account for nonlinear instrument responses or evaluate the statistical significance of metabolite differences.
It introduces a new computational framework called moleculaR, which improves the reliability of metabolite detection by applying data-dependent Gaussian weighting and allows for probabilistic mapping of significant spatial patterns of metabolites within tissues.
MoleculaR enables advanced analyses such as comparing metabolite distributions across tissues and examining entire molecular groups, helping researchers better understand tissue biochemistry and metabolic pathways spatially.]

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Probabilistic Spatial Mapping of Metabolites in Mass Spectrometry Imaging

This video discusses the limitations of current mass spectrometry imaging methods and introduces moleculaR, a new computational framework that improves metabolite detection reliability by applying data-dependent…

STEM RTCL TV · Jul 17, 2023 62 views

Amit Rai

@amit_rai_333 · X

RT @Digging_Plants: #timsTOFflex Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging https://t.co/0xk0LI2zqK

Jun 3, 2023 · 1 share · 83 followers View post →

Roy Nakbayaski

@Digging_Plants · X

#timsTOFflex Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging https://t.co/0xk0LI2zqK

Jun 2, 2023 · 3 likes · 1 share · 742 followers View post →

RRID Robot

@RobotRrid · X

The authors of "Spatial probabilistic mapping of metabolite ensemb…" (https://t.co/4tbSSqROha) included RRIDs in their paper! RRIDs like this improve reproducibility in scientific research. #accelerateopenscience #reproducibility

Apr 6, 2023 · 161 followers View post →

Eduardo Armienta

@eduardoarmienta · X

RT @kermitmurray: (Nature MS) Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging https://t.co/gQu2qTIU8E (R…

Apr 3, 2023 · 1 share · 1,207 followers View post →

Fábio Fonseca

@FbioFon84085623 · X

RT @realBioMassSpec: Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging #NatCommun https://t.co/kEmPPFKxQp

Apr 3, 2023 · 1 share · 574 followers View post →

BioMassSpec

@realBioMassSpec · X

Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging #NatCommun https://t.co/kEmPPFKxQp

Apr 3, 2023 · 2 likes · 1 share · 5,994 followers View post →

DTHSTR

@CDADeathStar · X

Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging null https://t.co/ddrP31hMcY #DTHSTR

Apr 1, 2023 · 113 followers View post →

Kermit Murray

@kermitmurray · X

(Nature MS) Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging https://t.co/gQu2qTIU8E (RSS) #nature #MassSpec

Apr 1, 2023 · 10 likes · 1 share · 1,970 followers View post →

bioRxiv Bioinfo

@biorxiv_bioinfo · X

Spatial Probabilistic Mapping of Metabolite Ensembles in Mass Spectrometry Imaging https://t.co/CBQYjqlViJ #biorxiv_bioinfo

Oct 28, 2021 · 1 like · 18,068 followers View post →

bioRxiv

@biorxivpreprint · X

Spatial Probabilistic Mapping of Metabolite Ensembles in Mass Spectrometry Imaging https://t.co/wxmBvmS310 #bioRxiv

Oct 28, 2021 · 136,933 followers View post →