Evidence map›Paper›PMID 38501481›Full record

ArticleProtein science : a publication of the Protein Society2024

Adaptable SEC-SAXS data collection for higher quality structure analysis in solution.

Tsutomu Matsui, Ivan Rajkovic, Blaine H M Mooers, Ping Liu, Thomas M Weiss

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Adaptable SEC-SAXS data collection for higher quality structure analysis in solution.Protein science : a publication of the Protein Society · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tsutomu MatsuiStanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California, USA.ORCID 0000-0001-7101-5259
Ivan RajkovicStanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California, USA.ORCID 0000-0003-4397-4801
Blaine H M MooersDepartment of Biochemistry and Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.ORCID 0000-0001-8181-8987
Ping LiuStanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California, USA.ORCID 0009-0001-1459-4167
Thomas M WeissStanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California, USA.ORCID 0000-0003-4639-8600

Funding

A Synchrotron Radiation Structural Biology ResourcesP30GM133894 · NIGMS · STANFORD UNIVERSITY · PI Ritimukta Sarangi · 2020 to 2026
$43.3M
Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Wade Williams · 2018 to 2026
$27.1M
Structure-Function Studies of MsvR, a Methanogen-Specific Transcriptional RegulaP20GM103640 · NIGMS · UNIVERSITY OF OKLAHOMA · PI THOMAS, LEONARD M · 2012 to 2021
$20.4M
Protein Production and Characterization CoreP30GM145423 · NIGMS · UNIVERSITY OF OKLAHOMA · PI ANN H WEST · 2022 to 2026
$6.9M
PILATUS3 X 1M X-ray detectorS10OD021512 · OD · STANFORD UNIVERSITY · PI WEIS, WILLIAM I · 2016 to 2016
$550k
NCI NIH HHS P30 CA225520NIGMS NIH HHS P20 GM103640NIGMS NIH HHS P30 GM133894NIGMS NIH HHS P30GM133894NIGMS NIH HHS P30 GM145423NIH HHS S10 OD021512NIH HHS S10OD021512
6 · The paper itself

Abstract

The two major challenges in synchrotron size-exclusion chromatography coupled in-line with small-angle x-ray scattering (SEC-SAXS) experiments are the overlapping peaks in the elution profile and the fouling of radiation-damaged materials on the walls of the sample cell. In recent years, many post-experimental analyses techniques have been developed and applied to extract scattering profiles from these problematic SEC-SAXS data. Here, we present three modes of data collection at the BioSAXS Beamline 4-2 of the Stanford Synchrotron Radiation Lightsource (SSRL BL4-2). The first mode, the High-Resolution mode, enables SEC-SAXS data collection with excellent sample separation and virtually no additional peak broadening from the UHPLC UV detector to the x-ray position by taking advantage of the low system dispersion of the UHPLC. The small bed volume of the analytical SEC column minimizes sample dilution in the column and facilitates data collection at higher sample concentrations with excellent sample economy equal to or even less than that of the conventional equilibrium SAXS method. Radiation damage problems during SEC-SAXS data collection are evaded by additional cleaning of the sample cell after buffer data collection and avoidance of unnecessary exposures through the use of the x-ray shutter control options, allowing sample data collection with a clean sample cell. Therefore, accurate background subtraction can be performed at a level equivalent to the conventional equilibrium SAXS method without requiring baseline correction, thereby leading to more reliable downstream structural analysis and quicker access to new science. The two other data collection modes, the High-Throughput mode and the Co-Flow mode, add agility to the planning and execution of experiments to efficiently achieve the user's scientific objectives at the SSRL BL4-2.

Indexed as

SynchrotronsChromatography, GelScattering, Small AngleX-Ray Diffractionbaseline correction-free analysisimproved SAXS data qualityoligomeric samplespeak resolutionradiation damagesample cell foulingSEC-SAXS data quality assessmentsize exclusion chromatographysmall-angle x-ray scatteringSSRL BL4-2

Identifiers

PMID38501481
PMCPMC10949327

What OpenQuestion holds

Textmetadata
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.