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        <identifier>oai:figshare.com:article/34150259</identifier>
        <datestamp>2026-10-07T08:15:44Z</datestamp>
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        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Microsolvation Controls Ultrafast Relaxation Pathways
in Hydrated Pyridine</dc:title>
          <dc:creator>Deepthy Maria Mootheril (25405598)</dc:creator>
          <dc:creator>Anna D. Skitnevskaya (12511981)</dc:creator>
          <dc:creator>Xueguang Ren (8629311)</dc:creator>
          <dc:creator>Alexander I. Kuleff (2203747)</dc:creator>
          <dc:creator>Alexander B. Trofimov (2074384)</dc:creator>
          <dc:creator>Lorenz S. Cederbaum (1280112)</dc:creator>
          <dc:creator>Thomas Pfeifer (2122777)</dc:creator>
          <dc:creator>Alexander Dorn (8629314)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>prototypical nucleobase analogue</dc:subject>
          <dc:subject>induced damage pathways</dc:subject>
          <dc:subject>find evidence consistent</dc:subject>
          <dc:subject>2s vacancy states</dc:subject>
          <dc:subject>electron impact ionization</dc:subject>
          <dc:subject>pyridine vacancies compete</dc:subject>
          <dc:subject>0 &lt;/ sub</dc:subject>
          <dc:subject>valence ionization leads</dc:subject>
          <dc:subject>initiated icd pathway</dc:subject>
          <dc:subject>water icd pathway</dc:subject>
          <dc:subject>valence ionization</dc:subject>
          <dc:subject>e &lt;/</dc:subject>
          <dc:subject>&gt;&lt; sub</dc:subject>
          <dc:subject>initiated icd</dc:subject>
          <dc:subject>shapes radiation</dc:subject>
          <dc:subject>results reveal</dc:subject>
          <dc:subject>related systems</dc:subject>
          <dc:subject>pyridine dimers</dc:subject>
          <dc:subject>neighboring molecule</dc:subject>
          <dc:subject>identify water</dc:subject>
          <dc:subject>hydrated pyridine</dc:subject>
          <dc:subject>following medium</dc:subject>
          <dc:subject>dual role</dc:subject>
          <dc:subject>biorelevant molecules</dc:subject>
          <dc:subject>auger decay</dc:subject>
          <dc:subject>additional pyridine</dc:subject>
          <dc:subject>103 ev</dc:subject>
          <dc:description>Hydration critically
reshapes ultrafast electronic relaxation in
biorelevant molecules, yet its mechanistic role remains poorly understood.
Here, we investigate intermolecular Coulombic decay (ICD) following
medium-energy (&lt;i&gt;E&lt;/i&gt;&lt;sub&gt;0&lt;/sub&gt; = 103 eV) electron impact
ionization of hydrated pyridine, a prototypical nucleobase analogue.
Combining multiparticle momentum coincidence spectroscopy with high-level
electronic structure calculations, we identify water-initiated ICD
and find evidence consistent with an additional pyridine-initiated
ICD pathway, in which inner-valence ionization leads to ionization
of the neighboring molecule. Water vacancies decay exclusively via
the ICD, establishing a highly efficient direct channel. In contrast,
pyridine vacancies compete with Auger decay, reducing the efficiency
of the pyridine-to-water ICD pathway. As in pyridine dimers, heterocycle-initiated
ICD is dominated by N 2s vacancy states. Our results reveal a dual
role of water: it opens a highly efficient direct ICD pathway via
O 2s vacancy states and acts as an energy-accepting partner following
biomolecular inner-valence ionization. These results reveal how microsolvation
governs ultrafast relaxation and shapes radiation-induced damage pathways
in DNA-related systems.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.jpca.6c05980.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Microsolvation_Controls_Ultrafast_Relaxation_Pathways_in_Hydrated_Pyridine/34150259</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
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      <header>
        <identifier>oai:figshare.com:article/34150257</identifier>
        <datestamp>2026-10-07T08:15:43Z</datestamp>
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        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Decagram Scale
Synthesis and Deployment of a Picolinamide
Ligand for a Copper-Catalyzed C–N Cross-Coupling</dc:title>
          <dc:creator>Andrew McGrath (12610501)</dc:creator>
          <dc:creator>Dan Lehnherr (2062849)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Pharmacology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>one step via</dc:subject>
          <dc:subject>induced crystallization affords</dc:subject>
          <dc:subject>decagram scale renders</dc:subject>
          <dc:subject>70 g scale</dc:subject>
          <dc:subject>20 g scale</dc:subject>
          <dc:subject>process chemistry applications</dc:subject>
          <dc:subject>decagram scale synthesis</dc:subject>
          <dc:subject>commercially available 6</dc:subject>
          <dc:subject>scalable access</dc:subject>
          <dc:subject>hydroxypicolinic acid</dc:subject>
          <dc:subject>friendly solvent</dc:subject>
          <dc:subject>excellent performance</dc:subject>
          <dc:subject>column chromatography</dc:subject>
          <dc:description>The synthesis of a picolinamide ligand is demonstrated
on a 70
g scale in a process-friendly solvent, and its application in a copper-catalyzed
C–N cross-coupling on a 20 g scale is reported. The ligand
can be accessed in one step via an amide coupling using inexpensive,
commercially available 6-hydroxypicolinic acid and 6-methylquinolin-5-amine.
A simple aqueous workup followed by a pH-swing-induced crystallization
affords the ligand without the need for column chromatography. The
combination of the scalable access to the ligand and its excellent
performance in copper-catalyzed C–N cross-coupling on decagram
scale renders this ligand attractive for deployment in process chemistry
applications.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.oprd.6c00198.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Decagram_Scale_Synthesis_and_Deployment_of_a_Picolinamide_Ligand_for_a_Copper-Catalyzed_C_N_Cross-Coupling/34150257</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:figshare.com:article/34150221</identifier>
        <datestamp>2026-10-07T08:15:05Z</datestamp>
        <setSpec>category_7</setSpec>
        <setSpec>category_15</setSpec>
        <setSpec>category_39</setSpec>
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      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Attributing
PM&lt;sub&gt;2.5&lt;/sub&gt; and NO&lt;sub&gt;2&lt;/sub&gt; Changes
One Year after New York City’s Congestion Pricing Policy</dc:title>
          <dc:creator>Polina
M. Goldberg (25405572)</dc:creator>
          <dc:creator>Abhishek Anand (3245445)</dc:creator>
          <dc:creator>Daniel L. Goldberg (7543259)</dc:creator>
          <dc:creator>Daniel M. Westervelt (11331878)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Mental Health</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>Computational  Biology</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>program may nonetheless</dc:subject>
          <dc:subject>differences regression attributes</dc:subject>
          <dc:subject>air quality policies</dc:subject>
          <dc:subject>across metropolitan nyc</dc:subject>
          <dc:subject>2022 – 2024</dc:subject>
          <dc:subject>congestion relief zone</dc:subject>
          <dc:subject>changes one year</dc:subject>
          <dc:subject>congestion pricing policy</dc:subject>
          <dc:subject>crz sites showed</dc:subject>
          <dc:subject>5 &lt;/ sub</dc:subject>
          <dc:subject>3 &lt;/ sup</dc:subject>
          <dc:subject>2 &lt;/ sub</dc:subject>
          <dc:subject>congestion pricing</dc:subject>
          <dc:subject>crz sites</dc:subject>
          <dc:subject>p &lt;/</dc:subject>
          <dc:subject>crz ).</dc:subject>
          <dc:subject>satellite observations</dc:subject>
          <dc:subject>outer boroughs</dc:subject>
          <dc:subject>nearby non</dc:subject>
          <dc:subject>meaningfully attributed</dc:subject>
          <dc:subject>lower manhattan</dc:subject>
          <dc:subject>january 2025</dc:subject>
          <dc:subject>first year</dc:subject>
          <dc:subject>decline alongside</dc:subject>
          <dc:subject>columns declined</dc:subject>
          <dc:subject>broader landscape</dc:subject>
          <dc:subject>50 μg</dc:subject>
          <dc:subject>44 μg</dc:subject>
          <dc:subject>34 ).</dc:subject>
          <dc:subject>33 μg</dc:subject>
          <dc:subject>2025 relative</dc:subject>
          <dc:subject>096 ).</dc:subject>
          <dc:subject>001 ).</dc:subject>
          <dc:subject>001 ),</dc:subject>
          <dc:description>In January 2025, New York City implemented the Central
Business
District Tolling Program (CBDTP), a congestion pricing policy targeting
lower Manhattan. We evaluate its first-year air quality effects using
ground-based and satellite observations. Comparing New York City Community
Air Survey (NYCCAS) real-time PM&lt;sub&gt;2.5&lt;/sub&gt; measurements from the
first year of CBDTP with 2022–2024, we find statistically significant
decreases within the congestion relief zone (CRZ). Difference-in-differences
regression attributes a 1.44 μg/m&lt;sup&gt;3&lt;/sup&gt; PM&lt;sub&gt;2.5&lt;/sub&gt; reduction at CRZ sites to the CBDTP (&lt;i&gt;p&lt;/i&gt; &lt; 0.001).
Accounting for spillovers, the CRZ decrease remained similar (1.33
μg/m&lt;sup&gt;3&lt;/sup&gt;, &lt;i&gt;p&lt;/i&gt; &lt; 0.001), while nearby
non-CRZ sites showed a nonsignificant 0.50 μg/m&lt;sup&gt;3&lt;/sup&gt; increase
(&lt;i&gt;p&lt;/i&gt; = 0.34). TROPOMI tropospheric NO&lt;sub&gt;2&lt;/sub&gt; columns
declined over 20% across metropolitan NYC in 2025 relative to a 2018–2024
baseline. Decreases were larger in lower Manhattan than the outer
boroughs, but not enough to be meaningfully attributed to the CBDTP,
which was associated with a nonsignificant 1.23% decrease in tropospheric
NO&lt;sub&gt;2&lt;/sub&gt; (&lt;i&gt;p&lt;/i&gt; = 0.096). The program may nonetheless
have contributed to the regional NO&lt;sub&gt;2&lt;/sub&gt; decline alongside
other air quality policies. These findings offer critical early evidence
that congestion pricing can deliver measurable air quality benefits,
while contextualizing local improvements within the broader landscape.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.estlett.6c00610.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Attributing_PM_sub_2_5_sub_and_NO_sub_2_sub_Changes_One_Year_after_New_York_City_s_Congestion_Pricing_Policy/34150221</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:figshare.com:article/34150209</identifier>
        <datestamp>2026-10-07T08:14:51Z</datestamp>
        <setSpec>category_7</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_69</setSpec>
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      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Elucidating pH-Dependent
Silica Removal Mechanisms
in Aluminum-Based Coagulation</dc:title>
          <dc:creator>Tyler
A. Malkoske (25405569)</dc:creator>
          <dc:creator>Sergi Garcia-Segura (6391304)</dc:creator>
          <dc:creator>Tiezheng Tong (622195)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Inorganic Chemistry</dc:subject>
          <dc:subject>Virology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>silicic acid polymerization</dc:subject>
          <dc:subject>major limiting factor</dc:subject>
          <dc:subject>improve process efficiency</dc:subject>
          <dc:subject>employed experimental investigations</dc:subject>
          <dc:subject>coagulant types considered</dc:subject>
          <dc:subject>alternative water sources</dc:subject>
          <dc:subject>silica removal mechanisms</dc:subject>
          <dc:subject>silica removal capacity</dc:subject>
          <dc:subject>enhance silica removal</dc:subject>
          <dc:subject>ph ≤ 8</dc:subject>
          <dc:subject>2 +&lt;/ sup</dc:subject>
          <dc:subject>silica removal</dc:subject>
          <dc:subject>bound silica</dc:subject>
          <dc:subject>work provides</dc:subject>
          <dc:subject>synergistic interactions</dc:subject>
          <dc:subject>silanol groups</dc:subject>
          <dc:subject>saline brines</dc:subject>
          <dc:subject>rising ph</dc:subject>
          <dc:subject>rational operation</dc:subject>
          <dc:subject>precipitates showed</dc:subject>
          <dc:subject>ph 10</dc:subject>
          <dc:subject>mechanistic basis</dc:subject>
          <dc:subject>level understanding</dc:subject>
          <dc:subject>ion exchange</dc:subject>
          <dc:subject>incomplete knowledge</dc:subject>
          <dc:subject>elucidating ph</dc:subject>
          <dc:subject>dependent increase</dc:subject>
          <dc:subject>chemical coagulation</dc:subject>
          <dc:subject>binding resulted</dc:subject>
          <dc:subject>based coagulation</dc:subject>
          <dc:subject>al −</dc:subject>
          <dc:subject>activated sites</dc:subject>
          <dc:description>Silica scaling is a major limiting factor to the treatment
and
valorization of saline brines as alternative water sources. While
coagulation provides competitive silica removal capacity compared
to ion exchange and adsorption, the incomplete knowledge of silica
removal mechanisms hinders efforts to improve process efficiency.
In this study, we employed experimental investigations and materials
characterization to advance the molecular-level understanding of silica
removal during electrocoagulation (EC) and chemical coagulation (CC).
EC provided greater silica removal compared to CC for all coagulant
types considered. For both EC and CC, silica removal capacity increased
2- to 5-fold with rising pH. Characterization of precipitates showed
that the pH-dependent increase in silica removal capacity was driven
by Al−O−Si bond formation and silicic acid polymerization.
A novel titration method revealed that at pH ≤ 8.0, silica
binding occurred via η−OH&lt;sub&gt;2&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt; activated
sites on aluminum precipitate, whereas at pH 10.0, binding resulted
from reactions among partially deprotonated η−OH sites,
bound silica, and silanol groups. Silica removal mechanisms were validated
using synthetic brackish groundwater, where synergistic interactions
between aluminum and Ca&lt;sup&gt;2+&lt;/sup&gt;/Mg&lt;sup&gt;2+&lt;/sup&gt; substantially
increased silica removal. This work provides a mechanistic basis for
the rational operation of aluminum-based coagulation to enhance silica
removal from saline brines.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.est.6c12764.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Elucidating_pH-Dependent_Silica_Removal_Mechanisms_in_Aluminum-Based_Coagulation/34150209</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34150194</identifier>
        <datestamp>2026-10-07T08:14:33Z</datestamp>
        <setSpec>category_4</setSpec>
        <setSpec>category_12</setSpec>
        <setSpec>category_13</setSpec>
        <setSpec>category_14</setSpec>
        <setSpec>category_16</setSpec>
        <setSpec>category_19</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_46</setSpec>
        <setSpec>category_64</setSpec>
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        <setSpec>category_135</setSpec>
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        <setSpec>portal_63</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_10_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Magnoflorine Ameliorates
Metabolic Dysfunction-Associated
Steatotic Liver Disease by Targeting the NDUFV1 Subunit of Complex
I to Regulate the ROS/AMPK Signaling Pathway</dc:title>
          <dc:creator>Jiali Rao (25405560)</dc:creator>
          <dc:creator>Xuefei Li (164781)</dc:creator>
          <dc:creator>Yushuang Zhang (7167923)</dc:creator>
          <dc:creator>Juan Guo (384038)</dc:creator>
          <dc:creator>Baomin Feng (682320)</dc:creator>
          <dc:creator>Yujie Lu (2257369)</dc:creator>
          <dc:creator>Xiaoyao Ma (3470258)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Physiology</dc:subject>
          <dc:subject>Pharmacology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Hematology</dc:subject>
          <dc:subject>Computational  Biology</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>prevalent metabolic disorder</dc:subject>
          <dc:subject>fat cell models</dc:subject>
          <dc:subject>activated protein kinase</dc:subject>
          <dc:subject>natural bioactive compound</dc:subject>
          <dc:subject>disease target databases</dc:subject>
          <dc:subject>maintain lipid homeostasis</dc:subject>
          <dc:subject>inhibiting lipid biosynthesis</dc:subject>
          <dc:subject>natural alkaloid</dc:subject>
          <dc:subject>key target</dc:subject>
          <dc:subject>alleviates lipid</dc:subject>
          <dc:subject>study reveals</dc:subject>
          <dc:subject>significantly attenuated</dc:subject>
          <dc:subject>lowering effects</dc:subject>
          <dc:subject>limited therapeutics</dc:subject>
          <dc:subject>knockdown cells</dc:subject>
          <dc:subject>edible plants</dc:subject>
          <dc:subject>core subunit</dc:subject>
          <dc:description>Metabolic dysfunction-associated steatotic liver disease
(MASLD)
is a prevalent metabolic disorder with limited therapeutics. Magnoflorine
(MAG), a natural alkaloid from edible plants, ameliorates MASLD; however,
its direct targets remain unclear. Here, by integrating thermal proteome
profiling and disease target databases, we identified NADH ubiquinone
oxidoreductase core subunit V1 (NDUFV1), a core subunit of mitochondrial
Complex I, as a key target of MAG. MAG directly binds NDUFV1, suppresses
mitochondrial electron transport chain activity, and alleviates lipid-induced
reactive oxygen species (ROS) accumulation. In high-fat cell models
and MASLD mice, MAG contributes to the restoration of AMP-activated
protein kinase (AMPK) signaling, promoting fatty acid β-oxidation
and inhibiting lipid biosynthesis to maintain lipid homeostasis. Notably,
the lipid-lowering effects of MAG were significantly attenuated in
NDUFV1-knockdown cells. This study reveals that MAG regulates lipid
metabolism by targeting NDUFV1, highlighting its potential as a natural
bioactive compound for MASLD.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.jafc.6c05636.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Magnoflorine_Ameliorates_Metabolic_Dysfunction-Associated_Steatotic_Liver_Disease_by_Targeting_the_NDUFV1_Subunit_of_Complex_I_to_Regulate_the_ROS_AMPK_Signaling_Pathway/34150194</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34150173</identifier>
        <datestamp>2026-10-07T08:14:04Z</datestamp>
        <setSpec>category_4</setSpec>
        <setSpec>category_8</setSpec>
        <setSpec>category_15</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_39</setSpec>
        <setSpec>category_69</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_10_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Cobalt-Doped CeO&lt;sub&gt;2&lt;/sub&gt; Nanozyme with Peroxidase-Like
Activity for Broad-Spectrum and Recyclable Degradation of Aflatoxins</dc:title>
          <dc:creator>Hongshuai Zhu (10758074)</dc:creator>
          <dc:creator>Ziyue Chen (4255657)</dc:creator>
          <dc:creator>Xinhua Xie (384078)</dc:creator>
          <dc:creator>Lei Bai (631944)</dc:creator>
          <dc:creator>Zhiguang Suo (9378498)</dc:creator>
          <dc:creator>Bobo Zhang (3702049)</dc:creator>
          <dc:creator>Jieqiong Qin (3843097)</dc:creator>
          <dc:creator>Huifu Ji (25405542)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Microbiology</dc:subject>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Inorganic Chemistry</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>step hydrothermal method</dc:subject>
          <dc:subject>six consecutive cycles</dc:subject>
          <dc:subject>serious health threat</dc:subject>
          <dc:subject>experimental characterization revealed</dc:subject>
          <dc:subject>ecosar predictions suggested</dc:subject>
          <dc:subject>demonstrating excellent reusability</dc:subject>
          <dc:subject>abundant oxygen vacancies</dc:subject>
          <dc:subject>optimized electronic structure</dc:subject>
          <dc:subject>food chain poses</dc:subject>
          <dc:subject>current degradation strategies</dc:subject>
          <dc:subject>sustainable nanozyme strategy</dc:subject>
          <dc:subject>exhibited remarkable peroxidase</dc:subject>
          <dc:subject>enabling efficient broad</dc:subject>
          <dc:subject>2 &lt;/ sub</dc:subject>
          <dc:subject>1 &lt;/ sub</dc:subject>
          <dc:subject>optimized nanozyme</dc:subject>
          <dc:subject>food matrices</dc:subject>
          <dc:subject>recyclable degradation</dc:subject>
          <dc:subject>degradation products</dc:subject>
          <dc:subject>degradation efficiency</dc:subject>
          <dc:subject>work provides</dc:subject>
          <dc:subject>nanozyme maintained</dc:subject>
          <dc:subject>mycotoxin detoxification</dc:subject>
          <dc:subject>mild conditions</dc:subject>
          <dc:subject>mass ratio</dc:subject>
          <dc:subject>like activity</dc:subject>
          <dc:subject>insufficient efficiency</dc:subject>
          <dc:subject>aqueous solution</dc:subject>
          <dc:subject>aflatoxins aflatoxins</dc:subject>
          <dc:subject>aflatoxin b</dc:subject>
          <dc:description>Aflatoxins (AFs) contamination in the food chain poses
a serious
health threat, and current degradation strategies are limited by insufficient
efficiency and stability. We developed a series of cobalt-doped CeO&lt;sub&gt;2&lt;/sub&gt; (Co@CeO&lt;sub&gt;2&lt;/sub&gt;) nanozymes via a one-step hydrothermal
method. The optimized nanozyme (Co-to-CeO&lt;sub&gt;2&lt;/sub&gt; mass ratio of
2:1) exhibited remarkable peroxidase-like activity, enabling efficient
broad-spectrum degradation of aflatoxin B&lt;sub&gt;1&lt;/sub&gt;, G&lt;sub&gt;1&lt;/sub&gt;, and M&lt;sub&gt;1&lt;/sub&gt; under mild conditions, with removal efficiencies
exceeding 90% in aqueous solution and approximately 80% in spiked
edible oil samples. Density functional theory calculations and experimental
characterization revealed that the enhanced catalytic performance
originates from optimized electronic structure, abundant oxygen vacancies,
and sustained reactive oxygen species generation. Notably, the nanozyme
maintained over 80% degradation efficiency over six consecutive cycles,
demonstrating excellent reusability. ECOSAR predictions suggested
that the degradation products had reduced aquatic toxicity compared
to the parent AFs. This work provides a sustainable nanozyme strategy
for mycotoxin detoxification in food matrices.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.jafc.6c09097.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Cobalt-Doped_CeO_sub_2_sub_Nanozyme_with_Peroxidase-Like_Activity_for_Broad-Spectrum_and_Recyclable_Degradation_of_Aflatoxins/34150173</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34150155</identifier>
        <datestamp>2026-10-07T08:13:44Z</datestamp>
        <setSpec>category_1</setSpec>
        <setSpec>category_14</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_39</setSpec>
        <setSpec>category_64</setSpec>
        <setSpec>category_272</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_10_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Engineering a Single-Plasmid
Dual-Pigment Escherichia coli Biosensor
for Simultaneous Colorimetric
Detection of Pb(II) and Hg(II)</dc:title>
          <dc:creator>Zhaobo Hu (6198434)</dc:creator>
          <dc:creator>Yan Guo (83742)</dc:creator>
          <dc:creator>Peishuo Cao (25405530)</dc:creator>
          <dc:creator>Keyan Wei (3959672)</dc:creator>
          <dc:creator>Zongjie Ma (22274635)</dc:creator>
          <dc:creator>Boxin Li (10793172)</dc:creator>
          <dc:creator>Dong Li (212687)</dc:creator>
          <dc:creator>Liang Zhou (85586)</dc:creator>
          <dc:creator>Chang-ye Hui (8378499)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>throughput screening platform</dc:subject>
          <dc:subject>site environmental monitoring</dc:subject>
          <dc:subject>response assays afforded</dc:subject>
          <dc:subject>escherichia coli top10</dc:subject>
          <dc:subject>emergency pollution response</dc:subject>
          <dc:subject>crosstalk remaining within</dc:subject>
          <dc:subject>concentration matrix experiment</dc:subject>
          <dc:subject>cocontaminated environmental samples</dc:subject>
          <dc:subject>alongside nanomolar sensitivity</dc:subject>
          <dc:subject>standard microplate assay</dc:subject>
          <dc:subject>simultaneous colorimetric detection</dc:subject>
          <dc:subject>detection limits approach</dc:subject>
          <dc:subject>class iii surface</dc:subject>
          <dc:subject>2 &lt;/ sup</dc:subject>
          <dc:subject>spiked surface water</dc:subject>
          <dc:subject>two pigment pathways</dc:subject>
          <dc:subject>water standard</dc:subject>
          <dc:subject>surface water</dc:subject>
          <dc:subject>pigment whole</dc:subject>
          <dc:subject>free pigment</dc:subject>
          <dc:subject>work presents</dc:subject>
          <dc:subject>signal interference</dc:subject>
          <dc:subject>seawater matrices</dc:subject>
          <dc:subject>seawater ).</dc:subject>
          <dc:subject>seawater ),</dc:subject>
          <dc:subject>robust performance</dc:subject>
          <dc:subject>orthogonal decoupling</dc:subject>
          <dc:subject>linear range</dc:subject>
          <dc:subject>eye discrimination</dc:subject>
          <dc:subject>dimensional cross</dc:subject>
          <dc:subject>dependent responses</dc:subject>
          <dc:subject>coexposure conditions</dc:subject>
          <dc:subject>cell biosensor</dc:subject>
          <dc:subject>acceptable range</dc:subject>
          <dc:subject>977 μm</dc:subject>
          <dc:subject>977 nm</dc:subject>
          <dc:subject>620 nm</dc:subject>
          <dc:subject>570 nm</dc:subject>
          <dc:subject>488 μm</dc:subject>
          <dc:subject>488 nm</dc:subject>
          <dc:subject>244 μm</dc:subject>
          <dc:subject>244 nm</dc:subject>
          <dc:description>This work presents an engineered single-plasmid, dual-pigment
whole-cell
biosensor for simultaneous colorimetric detection of Pb(II) and Hg(II).
To address the challenge of signal interference in cocontaminated
environmental samples, a Pb(II)-responsive PbrR regulatory module
driving indigo biosynthesis (blue, 620 nm) and an Hg(II)-responsive
MerR module driving deoxyviolacein biosynthesis (purple, 570 nm) were
integrated into Escherichia coli TOP10.
The orthogonal decoupling of the two pigment pathways, combined with
a unified 10 h induction protocol, enables independent chromogenic
readout of both metals from a single cultivation. Dose-response assays
afforded a broad linear dynamic range for Pb(II) of 0.977–2000
μM (R&lt;sup&gt;2&lt;/sup&gt; = 0.9503) with a limit of detection (LOD)
of 0.977 μM, alongside nanomolar sensitivity for Hg(II) with
a linear range of 0.244–250 nM (R&lt;sup&gt;2&lt;/sup&gt; = 0.9800) and
an LOD of 0.244 nM. A two-dimensional cross-concentration matrix experiment
further demonstrated that the two detection channels maintain distinguishable
dose-dependent responses under coexposure conditions, with crosstalk
remaining within an acceptable range. Robust performance was retained
in spiked surface water and seawater matrices, yielding Pb(II) LODs
of 0.244 μM (surface water) and 0.488 μM (seawater), and
Hg(II) LODs of 0.488 nM (surface water) and 0.977 nM (seawater). These
detection limits approach or fall below relevant environmental regulatory
thresholds, including the Class III surface-water standard for Hg(II).
This self-contained, instrument-free pigment-based approach enables
naked-eye discrimination of both metals in a standard microplate assay,
offering a low-cost, high-throughput screening platform that complements
standard instrumental methods for on-site environmental monitoring
and emergency pollution response.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acsomega.6c07888.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Engineering_a_Single-Plasmid_Dual-Pigment_Escherichia_coli_Biosensor_for_Simultaneous_Colorimetric_Detection_of_Pb_II_and_Hg_II_/34150155</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34150125</identifier>
        <datestamp>2026-10-07T08:13:12Z</datestamp>
        <setSpec>category_1</setSpec>
        <setSpec>category_4</setSpec>
        <setSpec>category_13</setSpec>
        <setSpec>category_19</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_46</setSpec>
        <setSpec>category_64</setSpec>
        <setSpec>category_132</setSpec>
        <setSpec>category_146</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>category_915</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_10_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Cascade Thiol-Responsive Hydrogels Based on Poly(2-Isopropenyl-2-oxazoline)
Cross-Linked with Ellman’s Reagent as Disulfide-Containing
Cross-Linkers</dc:title>
          <dc:creator>Peitao Yu (19233815)</dc:creator>
          <dc:creator>Tomáš Sedlačík (1488997)</dc:creator>
          <dc:creator>Richard Hoogenboom (1372614)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Pharmacology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>releasing thiophenolate moieties</dc:subject>
          <dc:subject>eye colorimetric detection</dc:subject>
          <dc:subject>essential physiological processes</dc:subject>
          <dc:subject>enables rapid naked</dc:subject>
          <dc:subject>released thiophenolate groups</dc:subject>
          <dc:subject>carboxylic acid groups</dc:subject>
          <dc:subject>generating red coloration</dc:subject>
          <dc:subject>oxazoline side groups</dc:subject>
          <dc:subject>responsive hydrogels based</dc:subject>
          <dc:subject>bearing reactive 2</dc:subject>
          <dc:subject>oxazoline groups</dc:subject>
          <dc:subject>responsive hydrogels</dc:subject>
          <dc:subject>responsive materials</dc:subject>
          <dc:subject>widely explored</dc:subject>
          <dc:subject>upon exposure</dc:subject>
          <dc:subject>strong demand</dc:subject>
          <dc:subject>straightforward strategy</dc:subject>
          <dc:subject>programmable sensing</dc:subject>
          <dc:subject>nonbiomedical applications</dc:subject>
          <dc:subject>multilevel cascade</dc:subject>
          <dc:subject>mechanical properties</dc:subject>
          <dc:subject>hydrogel network</dc:subject>
          <dc:subject>hydrogel modulus</dc:subject>
          <dc:subject>events depends</dc:subject>
          <dc:subject>ellman ’</dc:subject>
          <dc:subject>biological systems</dc:subject>
          <dc:description>Thiol compounds play
vital roles in environmental and biological
systems, contributing to essential physiological processes, and there
is a strong demand for methods to detect thiols and to design thiol-responsive
materials. While stimuli-responsive hydrogels have been widely explored
for biomedical and nonbiomedical applications, thiol-responsive hydrogels
for thiol monitoring and detection remain scarcely reported. Herein,
we present a straightforward strategy for synthesizing thiol-responsive
hydrogels based on poly(2-isopropenyl-2-oxazoline) (PiPOx) bearing
reactive 2-oxazoline side groups, cross-linked with Ellman’s
reagent containing a disulfide linker. Disulfide bonds are incorporated
into the hydrogel network through ester–amide junctions formed
between the 2-oxazoline rings of PiPOx and the carboxylic acid groups
of Ellman’s reagent. Upon exposure to thiols, the hydrogels
undergo disulfide–thiol exchange reactions, releasing thiophenolate
moieties and generating red coloration that enables rapid naked-eye
colorimetric detection. Unexpectedly, the released thiophenolate groups
further react with remaining 2-oxazoline groups of PiPOx, leading
to decoloration accompanied by further evolution of the mechanical
properties and enhancement of the hydrogel modulus. Consequently,
a single thiol exposure induces a time-dependent cascade response
involving swelling, softening, and coloration, followed by shrinking,
stiffening, and decoloration. The timing of these events depends on
thiol concentration, highlighting the potential of these hydrogels
for time-programmable sensing and multilevel cascade-responsive materials.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.chemmater.6c01016.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Cascade_Thiol-Responsive_Hydrogels_Based_on_Poly_2-Isopropenyl-2-oxazoline_Cross-Linked_with_Ellman_s_Reagent_as_Disulfide-Containing_Cross-Linkers/34150125</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34145881</identifier>
        <datestamp>2026-10-07T07:15:14Z</datestamp>
        <setSpec>category_4</setSpec>
        <setSpec>category_7</setSpec>
        <setSpec>category_12</setSpec>
        <setSpec>category_13</setSpec>
        <setSpec>category_61</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_10_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>An Optimized
Stem Cell Secretome Proteomics Platform:
Application to Progranulin-Deficient iPSCs</dc:title>
          <dc:creator>Jiawei Ni (13007757)</dc:creator>
          <dc:creator>Hope Tracey (25402591)</dc:creator>
          <dc:creator>Ling Hao (193154)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Developmental Biology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>powerful model systems</dc:subject>
          <dc:subject>growth factor deprivation</dc:subject>
          <dc:subject>secretome proteomics workflow</dc:subject>
          <dc:subject>human disease models</dc:subject>
          <dc:subject>abundance secreted proteins</dc:subject>
          <dc:subject>cell plating density</dc:subject>
          <dc:subject>media collection time</dc:subject>
          <dc:subject>deficient ipscs showed</dc:subject>
          <dc:subject>data analysis strategies</dc:subject>
          <dc:subject>progranulin deficiency reshapes</dc:subject>
          <dc:subject>ms acquisition methods</dc:subject>
          <dc:subject>standardized workflow</dc:subject>
          <dc:subject>preparation methods</dc:subject>
          <dc:subject>independent acquisition</dc:subject>
          <dc:subject>disease mechanisms</dc:subject>
          <dc:subject>derived proteins</dc:subject>
          <dc:subject>cell types</dc:subject>
          <dc:subject>cell confluency</dc:subject>
          <dc:subject>work establishes</dc:subject>
          <dc:subject>unlike many</dc:subject>
          <dc:subject>systematically optimized</dc:subject>
          <dc:subject>studying development</dc:subject>
          <dc:subject>step centrifugation</dc:subject>
          <dc:subject>regulate pluripotency</dc:subject>
          <dc:subject>regenerative medicine</dc:subject>
          <dc:subject>possible impairment</dc:subject>
          <dc:subject>optimized platform</dc:subject>
          <dc:subject>often masked</dc:subject>
          <dc:subject>ms provided</dc:subject>
          <dc:subject>media harvest</dc:subject>
          <dc:subject>lysosomal exocytosis</dc:subject>
          <dc:subject>intracellular proteomes</dc:subject>
          <dc:subject>intracellular contamination</dc:subject>
          <dc:subject>coordinated reduction</dc:subject>
          <dc:description>Stem cells secrete diverse extracellular proteins that
regulate
pluripotency, differentiation, and cell–cell communication,
making them powerful model systems for studying development, disease
mechanisms, and regenerative medicine. However, robust stem cell secretome
analysis remains technically challenging. Unlike many other cell types,
pluripotent stem cells cannot tolerate serum starvation or growth
factor deprivation, while low-abundance secreted proteins are often
masked by media-derived proteins and intracellular contamination.
Here, we systematically optimized the secretome proteomics workflow
in induced pluripotent stem cells (iPSCs) by evaluating culture medium
composition, conditioned-media collection time, cell plating density,
media harvest and preparation methods, LC-MS acquisition methods,
and data analysis strategies. Full-strength Essential 8 medium, 48
h media collection, 80% cell confluency, two-step centrifugation,
and data-independent acquisition (DIA)LC-MS/MS provided the optimal
secretome proteomics data quality. We then applied the optimized platform
to an isogenic iPSC disease model to investigate how progranulin deficiency
reshapes the extracellular and intracellular proteomes. Progranulin-deficient
iPSCs showed a coordinated reduction of extracellular lysosomal hydrolases
despite relatively modest intracellular proteome changes, suggesting
altered lysosome trafficking and possible impairment of lysosomal
exocytosis. Together, this work establishes a robust and standardized
workflow for stem cell secretome proteomics and demonstrates its utility
for investigating extracellular proteome remodeling in human disease
models.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1021/acs.jproteome.6c00588.s004</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/An_Optimized_Stem_Cell_Secretome_Proteomics_Platform_Application_to_Progranulin-Deficient_iPSCs/34145881</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34145878</identifier>
        <datestamp>2026-10-07T07:15:13Z</datestamp>
        <setSpec>category_4</setSpec>
        <setSpec>category_7</setSpec>
        <setSpec>category_12</setSpec>
        <setSpec>category_13</setSpec>
        <setSpec>category_61</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_10_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>An Optimized
Stem Cell Secretome Proteomics Platform:
Application to Progranulin-Deficient iPSCs</dc:title>
          <dc:creator>Jiawei Ni (13007757)</dc:creator>
          <dc:creator>Hope Tracey (25402591)</dc:creator>
          <dc:creator>Ling Hao (193154)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Developmental Biology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>powerful model systems</dc:subject>
          <dc:subject>growth factor deprivation</dc:subject>
          <dc:subject>secretome proteomics workflow</dc:subject>
          <dc:subject>human disease models</dc:subject>
          <dc:subject>abundance secreted proteins</dc:subject>
          <dc:subject>cell plating density</dc:subject>
          <dc:subject>media collection time</dc:subject>
          <dc:subject>deficient ipscs showed</dc:subject>
          <dc:subject>data analysis strategies</dc:subject>
          <dc:subject>progranulin deficiency reshapes</dc:subject>
          <dc:subject>ms acquisition methods</dc:subject>
          <dc:subject>standardized workflow</dc:subject>
          <dc:subject>preparation methods</dc:subject>
          <dc:subject>independent acquisition</dc:subject>
          <dc:subject>disease mechanisms</dc:subject>
          <dc:subject>derived proteins</dc:subject>
          <dc:subject>cell types</dc:subject>
          <dc:subject>cell confluency</dc:subject>
          <dc:subject>work establishes</dc:subject>
          <dc:subject>unlike many</dc:subject>
          <dc:subject>systematically optimized</dc:subject>
          <dc:subject>studying development</dc:subject>
          <dc:subject>step centrifugation</dc:subject>
          <dc:subject>regulate pluripotency</dc:subject>
          <dc:subject>regenerative medicine</dc:subject>
          <dc:subject>possible impairment</dc:subject>
          <dc:subject>optimized platform</dc:subject>
          <dc:subject>often masked</dc:subject>
          <dc:subject>ms provided</dc:subject>
          <dc:subject>media harvest</dc:subject>
          <dc:subject>lysosomal exocytosis</dc:subject>
          <dc:subject>intracellular proteomes</dc:subject>
          <dc:subject>intracellular contamination</dc:subject>
          <dc:subject>coordinated reduction</dc:subject>
          <dc:description>Stem cells secrete diverse extracellular proteins that
regulate
pluripotency, differentiation, and cell–cell communication,
making them powerful model systems for studying development, disease
mechanisms, and regenerative medicine. However, robust stem cell secretome
analysis remains technically challenging. Unlike many other cell types,
pluripotent stem cells cannot tolerate serum starvation or growth
factor deprivation, while low-abundance secreted proteins are often
masked by media-derived proteins and intracellular contamination.
Here, we systematically optimized the secretome proteomics workflow
in induced pluripotent stem cells (iPSCs) by evaluating culture medium
composition, conditioned-media collection time, cell plating density,
media harvest and preparation methods, LC-MS acquisition methods,
and data analysis strategies. Full-strength Essential 8 medium, 48
h media collection, 80% cell confluency, two-step centrifugation,
and data-independent acquisition (DIA)LC-MS/MS provided the optimal
secretome proteomics data quality. We then applied the optimized platform
to an isogenic iPSC disease model to investigate how progranulin deficiency
reshapes the extracellular and intracellular proteomes. Progranulin-deficient
iPSCs showed a coordinated reduction of extracellular lysosomal hydrolases
despite relatively modest intracellular proteome changes, suggesting
altered lysosome trafficking and possible impairment of lysosomal
exocytosis. Together, this work establishes a robust and standardized
workflow for stem cell secretome proteomics and demonstrates its utility
for investigating extracellular proteome remodeling in human disease
models.</dc:description>
          <dc:date>2026-10-07T00:00:00Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1021/acs.jproteome.6c00588.s003</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/An_Optimized_Stem_Cell_Secretome_Proteomics_Platform_Application_to_Progranulin-Deficient_iPSCs/34145878</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
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