Bram Daniel Estes

Mr. Bram Daniel Estes

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Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 April 2003 in The Plant Journal
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Journal Article
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JGJane Glazebrook
Jane Glazebrook
WCWenqiong Chen
Wenqiong Chen
Bram Daniel EstesBram Daniel Estes
Bram Daniel Estes
HCHur‐Song Chang
Hur‐Song Chang
CNChristiane Nawrath
Christiane Nawrath
FKFumiaki Katagiri
Fumiaki Katagiri
Summary: The signal transduction network controlling plant responses to pathogens includes pathways requiring the signal molecules salicylic acid (SA), jasmonic acid (JA), and ethylene (ET). The network topology was explored using global expression phenotyping of wild‐type and signaling‐defective mutant plants, including eds3, eds4, eds5, eds8, pad1, pad2, pad4, NahG, npr1, sid2, ein2, and coi1. Hierarchical clustering was used to define groups of mutations with similar effects on gene expression and groups of similarly regulated genes. Mutations affecting SA signaling formed two groups: one comprised of eds4, eds5, sid2, and npr1‐3 affecting only SA signaling; and the other comprised of pad2, eds3, npr1‐1, pad4, and NahG affecting SA signaling as well as another unknown process. Major differences between the expression patterns in NahG and the SA biosynthetic mutant sid2 suggest that NahG has pleiotropic effects beyond elimination of SA. A third group of mutants comprised of eds8, pad1, ein2, and coi1 affected ethylene and jasmonate signaling. Expression patterns of some genes revealed mutual inhibition between SA‐ and JA‐dependent signaling, while other genes required JA and ET signaling as well as the unknown signaling process for full expression. Global expression phenotype similarities among mutants suggested, and experiments confirmed, that EDS3 affects SA signaling while EDS8 and PAD1 affect JA signaling. This work allowed modeling of network topology, definition of co‐regulated genes, and placement of previously uncharacterized regulatory genes in the network.

19 December 2002 in Plant Biotechnology Journal
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Journal Article
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TZTong Zhu
Tong Zhu
PBPaul Budworth
Paul Budworth
WCWenqiong Chen
Wenqiong Chen
NPNicholas Provart
Nicholas Provart
HCHur‐Song Chang
Hur‐Song Chang
XWXun Wang
Xun Wang

12 October 2004 in Functional & Integrative Genomics
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SHSamuel P. Hazen
Samuel P. Hazen
MPM. Safiullah Pathan
M. Safiullah Pathan
ASAlma Sanchez
Alma Sanchez
IBIvan Baxter
Ivan Baxter
MDMolly Dunn
Molly Dunn
Henry NguyenHenry Nguyen
Henry Nguyen

20 October 2023 in Cancer Discovery
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Journal Article
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ONOlivier Nolan-Stevaux
Olivier Nolan-Stevaux
CLCong Li
Cong Li
LLLingming Liang
Lingming Liang
JZJinghui Zhan
Jinghui Zhan
JEJuan Estrada
Juan Estrada
JBJulie M. Bailis
Julie M. Bailis
The tumor-associated antigen STEAP1 is a potential therapeutic target that is expressed in most prostate tumors and at increased levels in metastatic castration-resistant prostate cancer (mCRPC). We developed a STEAP1-targeted XmAb 2+1 T-cell engager (TCE) molecule, AMG 509 (also designated xaluritamig), that is designed to redirect T cells to kill prostate cancer cells that express STEAP1. AMG 509 mediates potent T cell–dependent cytotoxicity of prostate cancer cell lines in vitro and promotes tumor regression in xenograft and syngeneic mouse models of prostate cancer in vivo. The avidity-driven activity of AMG 509 enables selectivity for tumor cells with high STEAP1 expression compared with normal cells. AMG 509 is the first STEAP1 TCE to advance to clinical testing, and we report a case study of a patient with mCRPC who achieved an objective response on AMG 509 treatment. Significance: Immunotherapy in prostate cancer has met with limited success due to the immunosuppressive microenvironment and lack of tumor-specific targets. AMG 509 provides a targeted immunotherapy approach to engage a patient's T cells to kill STEAP1-expressing tumor cells and represents a new treatment option for mCRPC and potentially more broadly for prostate cancer. See related commentary by Hage Chehade et al., p. 20. See related article by Kelly et al., p. 76. This article is featured in Selected Articles from This Issue, p. 5

15 March 2005 in Genome Biology
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WCWenqiong J Chen
Wenqiong J Chen
SCSherman H Chang
Sherman H Chang
MHMatthew E Hudson
Matthew E Hudson
WKWai-King Kwan
Wai-King Kwan
JLJingqiu Li
Jingqiu Li
TZTong Zhu
Tong Zhu
Background: Genetic control of gene transcription is a key component in genome evolution. To understand the transcriptional basis of natural variation, we have studied genome-wide variations in transcription and characterized the genetic variations in regulatory elements among Arabidopsis accessions. Results: Among five accessions (Col-0, C24, Ler, WS-2, and NO-0) 7,508 probe sets with no detectable genomic sequence variations were identified on the basis of the comparative genomic hybridization to the Arabidopsis GeneChip microarray, and used for accession-specific transcriptome analysis. Two-way ANOVA analysis has identified 60 genes whose mRNA levels differed in different accession backgrounds in an organ-dependent manner. Most of these genes were involved in stress responses and late stages of plant development, such as seed development. Correlation analysis of expression patterns of these 7,508 genes between pairs of accessions identified a group of 65 highly plastic genes with distinct expression patterns in each accession. Conclusion: Genes that show substantial genetic variation in mRNA level are those with functions in signal transduction, transcription and stress response, suggesting the existence of variations in the regulatory mechanisms for these genes among different accessions. This is in contrast to those genes with significant polymorphisms in the coding regions identified by genomic hybridization, which include genes encoding transposon-related proteins, kinases and disease-resistance proteins. While relatively fewer sequence variations were detected on average in the coding regions of these genes, a number of differences were identified from the upstream regions, several of which alter potential cis-regulatory elements. Our results suggest that nucleotide polymorphisms in regulatory elements of genes encoding controlling factors could be primary targets of natural selection and a driving force behind the evolution of Arabidopsis accessions.

14 November 2014 in Biotechnology Progress
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Bram Daniel EstesBram Daniel Estes
Bram Daniel Estes
YHYueh‐Rong Hsu
Yueh‐Rong Hsu
LTLei‐Ting Tam
Lei‐Ting Tam
JSJackie Sheng
Jackie Sheng
JSJennitte Stevens
Jennitte Stevens
RHRaj Haldankar
Raj Haldankar
Mammalian expression systems are used routinely for the production of recombinant proteins as therapeutic molecules as well as research tools. Transient expression has become increasingly popular in recent years due to its rapid timeline and improvements in expression level. While improvements to transient expression systems have focused mainly on the level of protein expression, the aspect of protein quality has received little attention. The removal of undesirable products, such as aggregation, depends primarily on purification, requiring additional cumbersome steps, which can lead to a lower product yield and longer timelines. In this study, we show that reducing the level of transcription by transfecting at a lower gene dose improves the quality of secreted molecules prone to aggregation. For gene dosing to have this effect, it is critical for the carrier DNA to be an empty vector containing the same elements as the gene containing plasmid. This approach can be used in combination with a temperature shift to hypothermic conditions during production to enhance the effect. The observed improvements not only minimized aggregation levels, but also generated products with overall superior quality, including more homogeneous signal peptide cleavage and N‐linked glycosylation profiles. These techniques have produced a similar improvement in product quality with a variety of other molecules, suggesting that this may be a general approach to enhance product quality from transient expression systems. © 2014 American Institute of Chemical Engineers Biotechnol. Prog., 31:258–267, 2015