Michael Krueger

Baylor College of Medicine

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Michele S. Redell

Baylor College of Medicine

Eric Ganz

University of Minnesota

Chuyen Van Pham

Forschungszentrum Jülich

Brian Borovsky

St. Olaf College

Pavel Sumazin

Texas Children's Hospital

Alfian Ferdiansyah Madsuha

University of Indonesia

Alexandra M. Stevens

Texas Children's Hospital

Tsz‐Kwong Man

Clalit Health Services

Mohammad Javad Najaf Panah

Texas Children's Hospital

Selina Jansky

Essen University Hospital

Cooperative Institutions

Baylor College of Medicine

Children's Cancer Center

University of Freiburg

Technion – Israel Institute of Technology

Texas Children's Hospital

Rice University

Universität Hamburg

The University of Texas MD Anderson Cancer Center

University Medical Center Hamburg-Eppendorf

Freie Universität Berlin

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Correlation between CdSe QD Synthesis, Post-Synthetic Treatment, and BHJ Hybrid Solar Cell Performance

Nanomaterials (2016)

Michael J. Eck Michael Krueger

In this publication we show that the procedure to synthesize nanocrystals and the post-synthetic nanocrystal ligand sphere treatment have a great influence not only on the immediate performance of hybrid bulk heterojunction solar cells, but also on their thermal, long-term, and air stability. We herein demonstrate this for the particular case of spherical CdSe nanocrystals, post-synthetically treated with a hexanoic acid based treatment. We observe an influence from the duration of this post-synthetic treatment on the nanocrystal ligand sphere size, and also on the solar cell performance. By tuning the post-synthetic treatment to a certain degree, optimal device performance can be achieved. Moreover, we show how to effectively adapt the post-synthetic nanocrystal treatment protocol to different nanocrystal synthesis batches, hence increasing the reproducibility of hybrid nanocrystal:polymer bulk-heterojunction solar cells, which usually suffers due to the fluctuations in nanocrystal quality of different synthesis batches and synthesis procedures.

10.3390/nano6060115

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Citations (9)

Additional file 2 of Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes

Figshare (2023)

Francisco Avila Cobos Mohammad Javad Najaf Panah J Elswood Xiaochen Long Tsz‐Kwong Man

Additional file 2: Table S1. The composition of each of the 6 cell mixtures, based on cell counts, compared to estimates based on flow cytometry and scRNA-seq analysis.

RNA-Seq

10.6084/m9.figshare.23819799

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Effective methods for bulk RNA-Seq deconvolution using scnRNA-Seq transcriptomes

bioRxiv (Cold Spring Harbor Laboratory) (2022)

Francisco Avila Cobos Mohammad Javad Najaf Panah J Elswood Xiaochen Long Tsz‐Kwong Man

ABSTRACT RNA profiling technologies at single-cell resolutions, including single-cell and single-nuclei RNA sequencing (scRNA-Seq and snRNA-Seq, scnRNA-Seq for short), can help characterize the composition of tissues and reveal cells that influence key functions in both healthy and disease tissues. However, the use of these technologies is operationally challenging because of high costs and stringent sample-collection requirements. Computational deconvolution methods that infer the composition of bulk-profiled samples using scnRNA-Seq-characterized cell types can broaden scnRNA-Seq applications, but their effectiveness remains controversial. We produced the first systematic evaluation of deconvolution methods on datasets with either known or scnRNA-Seq-estimated compositions. Our analyses revealed biases that are common to scnRNA-Seq 10X Genomics assays and illustrated the importance of accurate and properly controlled data preprocessing and method selection and optimization. Moreover, our results suggested that concurrent RNA-Seq and scnRNA-Seq profiles can help improve the accuracy of both scnRNA-Seq preprocessing and the deconvolution methods that employ them. Indeed, our proposed method, Single-cell RNA Quantity Informed Deconvolution (SQUID), combined RNA-Seq transformation and dampened weighted least-squares deconvolution approaches to consistently outperform other methods in predicting the composition of cell mixtures and tissue samples. Furthermore, our analysis suggested that only SQUID could identify outcomes-predictive cancer cell subclones in pediatric acute myeloid leukemia and neuroblastoma datasets, suggesting that deconvolution accuracy improvements are vital to enabling its applications in the life sciences.

RNA-Seq

10.1101/2022.12.13.520241

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Generation of squeezed high-order harmonics

arXiv (Cornell University) (2023)

Matan Even Tzur Michael Birk Alexey Gorlach Ido Kaminer Michael Krueger

For decades, most research on high harmonic generation (HHG) considered matter as quantum but light as classical, leaving the quantum-optical nature of the harmonics an open question. Here we explore the quantum properties of high harmonics. We derive a formula for the quantum state of the high harmonics, when driven by arbitrary quantum light states, and then explore specific cases of experimental relevance. Specifically, for a moderately squeezed pump, HHG driven by squeezed coherent light results in squeezed high harmonics. Harmonic squeezing is optimized by syncing ionization times with the pump's squeezing phase. Beyond this regime, as pump squeezing is increased, the harmonics initially acquire squeezed thermal photon statistics, and then occupy an intricate quantum state which strongly depends on the semi-classical nonlinear response function of the interacting system. Our results pave the way for the generation of squeezed extreme-ultraviolet ultrashort pulses, and, more generally, quantum frequency conversion into previously inaccessible spectral ranges, which may enable ultrasensitive attosecond metrology.

Attosecond

10.48550/arxiv.2311.11257

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ChemInform Abstract: Synthesis and Structure of Ethynyl Isocyanide.

ChemInform (1992)

Michael Krueger H. Dreizler Dagmar Preugschat Dieter Lentz

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.

10.1002/chin.199210123

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A Novel STAT3 Inhibitor Has Potent Activity in Preclinical Models of Acute Myeloid Leukemia That Incorporate the Stromal Environment

Blood (2015)

Michael Krueger Matthew B. Minus Wei Liu Xin Long Alexandra M. Stevens

10.1182/blood.v126.23.569.569

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Citations (4)

Rhodium(II) Proximity‐Labeling Identifies a Novel Target Site on STAT3 for Inhibitors with Potent Anti‐Leukemia Activity

Angewandte Chemie (2015)

Matthew B. Minus Wei Liu Farrukh Vohidov Moses M. Kasembeli Xin Long

Abstract Nearly 40 % of children with acute myeloid leukemia (AML) suffer relapse arising from chemoresistance, often involving upregulation of the oncoprotein STAT3 (signal transducer and activator of transcription 3). Herein, rhodium(II)‐catalyzed, proximity‐driven modification identifies the STAT3 coiled‐coil domain (CCD) as a novel ligand‐binding site, and we describe a new naphthalene sulfonamide inhibitor that targets the CCD, blocks STAT3 function, and halts its disease‐promoting effects in vitro, in tumor growth models, and in a leukemia mouse model, validating this new therapeutic target for resistant AML.

10.1002/ange.201506889

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Citations (13)

Si(001) Step Dynamics

Physical Review Letters (1995)

Chris Pearson Brian Borovsky Michael Krueger Robert Curtis Eric Ganz

We used a scanning tunneling microscope to study the dynamics of step edges on the Si(001)- $\left(2\ifmmode\times\else\texttimes\fi{}1\right)$ reconstructed surface at temperatures from 520 to 700 K. We count changes in step edge position to determine the rates of attachment and detachment events which occur in units of four Si atoms (two dimers). Surface mass transport at these temperatures is dominated by kink diffusion. From an Arrhenius plot we find the effective activation energy for kink diffusion to be $0.97\ifmmode\pm\else\textpm\fi{}0.12$ eV with a prefactor of $3\ifmmode\times\else\texttimes\fi{}{10}^{5}{\mathrm{s}}^{\ensuremath{-}1}$.

Arrhenius plot

10.1103/physrevlett.74.2710

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Metastable Structures in the Initial Stages of Si Homoepitaxy

Surface Review and Letters (1998)

Brian Borovsky Michael Krueger Eric Ganz

We discuss the growth of the first six atoms of an epitaxial Si island on Si(001). The nucleation of a six-atom island is observed to rely on a conversion between two metastable four-atom structures. These results suggest that metastable configurations play an important role in epitaxial growth.

Metastability

10.1142/s0218625x98001420

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Citations (2)

Additional file 5 of Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes

Figshare (2023)

Francisco Avila Cobos Mohammad Javad Najaf Panah J Elswood Xiaochen Long Tsz‐Kwong Man

Additional file 5: Table S4. Datasets used to evaluate deconvolution accuracy. Annotations include methods for setting the gold-standard composition, quality of deconvolution, sample types, cell or nuclei counts, UMI counts, and the number of samples in each dataset.

RNA-Seq

10.6084/m9.figshare.23819808

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