Results 41 to 50 of about 10,065,126 (260)

CEL-Seq: Single-Cell RNA-Seq by Multiplexed Linear Amplification

Cell Reports, 2012
High-throughput sequencing has allowed for unprecedented detail in gene expression analyses, yet its efficient application to single cells is challenged by the small starting amounts of RNA.
Tamar Hashimshony, Florian Wagner, Noa Sher, Itai Yanai   +3 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

ChIP-seq Analysis in R (CSAR): An R package for the statistical detection of protein-bound genomic regions [PDF]

, 2011
Background In vivo detection of protein-bound genomic regions can be achieved by combining chromatin-immunoprecipitation with next-generation sequencing technology (ChIP-seq). The large amount of sequence data produced by this method needs to be analyzed
Muino, J.M., Angenent, G.C., Krajewski Pawel, Angenent Gerco C, Roeland CHJ van Ham, Pawel Krajewski, Muiño Jose M, Ham, R.C.H.J., van, Kaufmann, K., van Ham Roeland CHJ, Jose M Muiño, Kaufmann Kerstin, van Ham, R.C.H.J., Krajewski, P., Kerstin Kaufmann, Gerco C Angenent   +15 more
core   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Computational analysis of next generation sequencing data : from transcription start sites in bacteria to human non-coding RNAS [PDF]

, 2014
The advent of next generation sequencing (NGS) technologies has revolutionized the field of molecular biology by providing a wealth of sequence data. “Transcriptomics”, which aims to identify and annotate the complete set of RNA molecules transcribed ...
Jorjani, Hadi
core   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

RNA‐related functions of BRCA2 in transcription, replication, and genome stability

FEBS Letters, EarlyView.
Beyond its role in homologous recombination, BRCA2 regulates R‐loop homeostasis, DNA–RNA hybrid resolution, RNA polymerase II dynamics, and transcriptional activation. Disruption of any of these functions can contribute to genome instability, inflammatory signaling, and tumorigenesis. BRCA2 is a central tumor suppressor protein best known for its roles
Lucia Alvaro‐Aranda, Sreerama Chaitanya Sridhara, Aura Carreira   +2 more
wiley   +1 more source

CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq [PDF]

, 2015
Single-cell transcriptomics requires a method that is sensitive, accurate, and reproducible. Here, we present CEL-Seq2, a modified version of our CEL-Seq method, with threefold higher sensitivity, lower costs, and less hands-on time.
Naftalie Senderovich, Agnes Klochendler, Shuqiang Li, Hashimshony, Tamar, Anavy, Leon, Orit Rozenblatt-Rosen, Tamar Hashimshony, Dor, Yuval, Senderovich, Naftalie, Aviv Regev (147110), Klochendler, Agnes, Yaron de Leeuw (3579329), Dave Gennert, Orit Rozenblatt-Rosen (127443), de Leeuw, Yaron, Yaron de Leeuw, Kenneth Livak (3485735), Li, Shuqiang, Itai Yanai, Naftalie Senderovich (3579320), Regev, Aviv, Yanai, Itai, Yuval Dor (44175), Rozenblatt-Rosen, Orit, Leon Anavy, Shuqiang Li (228142), Tamar Hashimshony (498520), Leon Anavy (3579326), Itai Yanai (704), Livak, Kenneth J., Gal Avital, Yuval Dor, Gennert, Dave, Dave Gennert (3579323), Kenneth J. Livak, Avital, Gal, Agnes Klochendler (2504122), Aviv Regev, Gal Avital (3579332)   +38 more
core   +1 more source

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

FEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos, Antonia Petropoulou, Alexandra Anastogianni, Angelina Bania, Vassilis Stamatakis, Argyris Alexiou, Chi‐Ping Day, Glenn Merlino, Katerina Grafanaki, Constantinos Stathopoulos   +9 more
wiley   +1 more source

Single-cell normalization and association testing unifying CRISPR screen and gene co-expression analyses with Normalisr

Nature Communications, 2021
Normalisr removes technical bias in single-cell RNA-seq and detects gene differential and coexpression accurately and efficiently. It also infers gene regulatory and co-expression networks from conventional and CRISPR screen single-cell RNA-seq datasets.
Lingfei Wang
doaj   +1 more source