Tag: Arjun Raj

Posted on

From Chance to Certainty: Solving Science’s Reproducibility Crisis

by Ian Scheffler

Jamie Moffa, host of In Plain English; Konrad Kording, Kaela Singleton and Arjun Raj

One of the pillars of science is the idea that experimental results can be replicated. If they cannot be reproduced, what if the findings of an experiment were due just to chance? Over the last two decades, a growing chorus of scientists has raised concerns about the “reproducibility crisis,” in which many published research findings can’t be independently validated, calling into question the rigor of contemporary science.

Two years ago, a group led by Konrad Kording, a Penn Integrates Knowledge Professor in Bioengineering and Neuroscience, founded the Community For Rigor (C4R) to build a grassroots movement to improve the rigor of scientific research.

Supported by a grant from the National Institutes of Health (NIH) and partners at Harvard, Duquesne, Smith College and Johns Hopkins, among other institutions, C4R creates educational materials that teach the principles of rigorous research, from data collection to pre-registration of results. “Everyone has done wrong things,” says Kording. “We’re all making these mistakes and we need to be able to talk about it.”

Last month, Kording appeared on In Plain English, a podcast devoted to making science more accessible, alongside Kaela Singleton, the co-founder and President of Black in Neuro; Arjun Raj, Professor in Bioengineering in Penn Engineering and in Genetics in Penn Medicine; and Jamie Moffa, a physician-scientist in training at Washington University in St. Louis, to discuss scientific rigor, including actionable strategies for students and faculty alike.

The conversation touched on everything from successfully managing the reams of data produced by experiments to the power of community to drive cultural change, as well as the difficulty of filtering useful feedback from the noise of social media. “I hope we can get to a point where people feel comfortable sharing what’s working and what’s not working,” says Raj.

Listen to the episode here.

Posted on

Arjun Raj Explores Whether Cells Can Learn in 2024 Heilmeier Lecture

Arjun Raj (center) accepts the Heilmeier Award, with Bioengineering Department Chair Ravi Radhakrishnan (left) and Dean Vijay Kumar (right).

Arjun Raj, Professor in Bioengineering at Penn Engineering and in Genetics at the Perelman School of Medicine, has been honored with the 2023-24 George H. Heilmeier Faculty Award for Excellence for “pioneering the development and application of single-cell, cancer-fighting technologies.”

The George H. Heilmeier Faculty Award for Excellence in Research was “established by Penn Engineering for the purpose of recognizing excellence in scholarly activities of the faculty. Named in honor of George H. Heilmeier, it recognizes his extraordinary research career, his leadership in technical innovation and public service, and his loyal and steadfast support of Penn Engineering.”

Dr. Raj delivered his lecture, entitled “Can a Cell Learn?” on April 8, 2024. In this talk, Raj explores whether it is possible for cells to adapt to their environment by learning, thereby overcoming their genetic destiny.

Learn more about, this award, Dr. Raj and his research here. View the lecture recording below.

The Raj Lab for Systems Biology is interested in building a quantitative understanding of cellular function. They develop new tools for quantifying biological processes based on imaging and sequencing and then use those techniques to help us answer questions in molecular and cellular biology. Read more stories featuring Raj in the BE Blog.

Posted on

Arjun Raj Receives 2023-24 Heilmeier Award

by Olivia J. McMahon

Arjun Raj, Ph.D.

Arjun Raj, Professor in Bioengineering in Penn Engineering, has been named the recipient of the 2023-24 George H. Heilmeier Faculty Award for Excellence in Research for “pioneering the development and application of single-cell, cancer-fighting technologies.”

The Heilmeier Award honors a Penn Engineering faculty member whose work is scientifically meritorious and has high technological impact and visibility. It is named for the late George H. Heilmeier, a Penn Engineering alumnus and member of the School’s Board of Advisors, whose technological contributions include the development of liquid crystal displays and whose honors include the National Medal of Science and Kyoto Prize.

Raj, who also holds an appointment in Genetics in the Perelman School of Medicine, is a pioneer in the burgeoning field of single-cell engineering and biology. Powered by innovative techniques he has developed for molecular profiling of single cells, his scientific discoveries range from the molecular underpinnings of cellular variability to the behavior of single cells across biology, including in diseases such as cancer.

Raj will deliver the 2023-24 Heilmeier Lecture at Penn Engineering during the spring 2024 semester.

This story originally appeared in Penn Engineering Today.

Read more stories featuring Dr. Raj here.

Posted on

“QR Code for Cancer Cells” – Uncovering Why Some Cells Become Resistant to Anti-Cancer Therapies

by Win Reynolds

QR codeA research team led by engineers at the University of Pennsylvania and Northwestern University scientists has created a new synthetic biology approach, or a “QR code for cancer cells,” to follow tumor cells over time, finding there are meaningful differences in why a cancer cell dies or survives in response to anti-cancer therapies.

Remarkably, what fate cancer cells choose after months of therapy is “entirely predictable” based on seemingly small, yet important, differences that appear even before treatment begins. The researchers also discovered the reason is not genetics, contrary to beliefs held in the field.

The findings were recently published in Nature.

The study outlined the team’s new technology platform that developed a QR code for each of the millions of cells for scientists to find and use later — much like tagging swans in a pond. The QR code directs researchers to a genome-wide molecular makeup of these cells and provides information about how they’ve reacted to cancer treatment.

“We think this work stands to really change how we think about therapy resistance,” said Arjun Raj, co-senior author and Professor in Bioengineering in the School of Engineering and Applied Science at the University of Pennsylvania. “Rather than drug-resistant cells coming in just one flavor, we show that even in highly controlled conditions, different ‘flavors’ can emerge, raising the possibility that each of these flavors may need to be treated individually.”

In the study, the lab and collaborators sought to apply synthetic biology tools to answer a key question in cancer research: What makes certain tumors come back a few months or years after therapy? In other words, could the lab understand what causes some rare cells to develop therapeutic resistance to a drug?

“There are many ways cells become different from each other,” said Yogesh Goyal, the co-senior author at Northwestern University. “Our lab asks, how do individual cells make decisions? Understanding this in the context of cancer is all the more exciting because there’s a clinically relevant dichotomy: A cell dies or becomes resistant when faced with therapies.”

Using the interdisciplinary team, the scientists put the before-and-after cloned cells through a whole genome sequencing pipeline to compare the populations and found no systematic underlying genetic mutations to investigate the hypothesis. Raj and Goyal  helped develop the QR code framework, FateMap, that could identify each unique cell that seemed to develop resistance to drug therapy. “Fate” refers to whether a cell dies or survives (and if so, how), and the scientists “map” the cells across their lifespan, prior to and following anti-cancer therapy. FateMap is the result of work from several research institutions, and it applies an amalgamation of concepts spanning several disciplines, including synthetic biology, genome engineering, bioinformatics, machine learning and thermodynamics.

“Some are different by chance — just as not all leaves on a tree look the same — but we wanted to determine if that matters,” Goyal said. “The cell biology field has a hard time defining if differences have meaning.”

Read the full story in Penn Engineering Today.

Posted on

New Single Cell Analysis Tool

by Nathi Magubane

Researchers at Penn and colleagues have developed a tool to analyze single cells that assesses both the patterns of gene activation within a cell and which sibling cells shared a common progenitor.

3D illustration of a cell held by a pipet and a needle
Arjun Raj of the School of Engineering and Applied Science and the Perelman School of Medicine, former postdoc Lee Richman, now of Brigham and Women’s Hospital, and colleagues have developed a new analysis tool that combines a cell’s unique gene expression data with information about the cell’s origins. The method can be applied to identify new cell subsets throughout development and better understand drug resistance.

Recent advances in analyzing data at the single-cell level have helped biologists make great strides in uncovering new information about cells and their behaviors. One commonly used approach, known as clustering, allows scientists to group cells based on characteristics such as the unique patterns of active or inactive genes or by the progeny of duplicating cells, known as clones, over several generations.

Although single-cell clustering has led to many significant findings, for example, new cancer cell subsets or the way immature stem cells mature into “specialized” cells, researchers to this point had not been able to marry what they knew about gene-activation patterns with what they knew about clone lineages.

Now, research published in Cell Genomics led by University of Pennsylvania professor of bioengineering Arjun Raj has resulted in the development of ClonoCluster, an open-source tool that combines unique patterns of gene activation with clonal information. This produces hybrid cluster data that can quickly identify new cellular traits; that can then be used to better understand resistance to some cancer therapies.

“Before, these were independent modalities, where you would cluster the cells that express the same genes in one lot and cluster the others that share a common ancestor in another,” says Lee Richman, first paper author and a former postdoc in the Raj lab who is now at Brigham and Women’s Hospital in Boston. “What’s exciting is that this tool allows you to draw new lines around your clusters and explore their properties, which could help us identify new cell types, functions, and molecular pathways.”

Researchers in the Raj Lab use a technique known as barcoding to assign labels to cells they are interested in studying, particularly useful for tracking cells, clustering data based on cells’ offspring, and following lineages over time. Believing they could parse more valuable information out of this data by incorporating the cell’s unique patterns of gene activation, the researchers applied ClonoCluster to six experimental datasets that used barcoding to track dividing cells’ offspring. Specifically, they looked at the development of chemotherapy resistance and of stem cells into specialized tissue types.

Read the full story in Penn Today.

Posted on

2022 Graduate Research Fellowships for Bioengineering Students

Congratulations to the two Bioengineering students to receive 2022 National Science Foundation Graduate Research Fellowship Program (NSF GRFP) fellowships. The prestigious NSF GRFP program recognizes and supports outstanding graduate students in NSF-supported fields. The eighteen Penn 2022 honorees were selected from a highly-competitive pool of over 12,000 applications nationwide. Further information about the program can be found on the NSF website.

 Gianna Therese Busch, PhD student, Bioengineering
Gianna is a member of the systems biology lab of Arjun Raj, Professor in Bioengineering and Genetics. Her research focuses on single-cell differences in cancer metabolism and drug resistance.

 

 

 

Shawn Kang, BSE/MSE, Bioengineering (’22)
Shawn conducted research in the BIOLines Lab of Dan Huh, Associate Professor in Bioengineering, where he worked to develop more physiologically relevant models of human health and disease by combining organs-on-a-chip and organoid technology.

 

 

 

The following Bioengineering students also received Honorable Mentions:
Michael Steven DiStefano, PhD student
Rohan Dipak Patel, PhD student
Abraham Joseph Waldman, PhD student

Read the full list of NSF GRFP Honorees on the Grad Center at Penn website.

Posted on

Yogesh Goyal Selected as 2021 STAT Wunderkind

Yogesh Goyal, Ph.D.

Yogesh Goyal, Ph.D.,  a postdoctoral researcher in Genetics and Bioengineering, has been selected as a 2021 STAT Wunderkind, which honors the “next generation of scientific superstars.” Goyal’s research is centered around developing novel mathematical and experimental frameworks to study how a rare subpopulation of cancer cells are able to survive drug therapy and develop resistance, resulting in relapse in patients. In particular, his work provides a view of different paths that single cancer cells take when becoming resistant, at unprecedented resolution and scale. This research aims to help devise novel therapeutic strategies to combat the challenge of drug resistance in cancer.

Goyal is a Jane Coffin Childs Postdoctoral Fellow in the systems biology lab of Arjun Raj, Professor in Bioengineering and Genetics at Penn. He will begin an appointment as Assistant Professor in the Department of Cell and Developmental Biology (CDB) in the Feinberg School of Medicine at Northwestern University in spring 2022.

Read the announcement in Penn Medicine News.

Posted on

Yogesh Goyal Appointed Assistant Professor at Northwestern University

Yogesh Goyal, Ph.D.

The Department of Bioengineering is proud to congratulate Yogesh Goyal on his appointment as Assistant Professor in the Department of Cell and Developmental Biology (CDB) in the Feinberg School of Medicine at Northwestern University. His lab will be housed within the Center for Synthetic Biology. His appointment will begin in Spring 2022.

Yogesh grew up in Chopra Bazar, a small rural settlement in Jammu and Kashmir, India. He received his undergraduate degree in Chemical Engineering from the Indian Institute of Technology Gandhinagar. Yogesh joined Princeton University for his Ph.D. in Chemical and Biological Engineering, jointly mentored by Professors Stanislav Shvartsman and Gertrud Schüpbach. Yogesh is currently a Jane Coffin Childs Postdoctoral Fellow in the lab of Arjun Raj, Professor in Bioengineering and Genetics at Penn.

“I am so excited for Yogesh beginning his faculty career,” Raj says. “He is a wonderful scientist with a sense of aesthetics. His work is simultaneously significant and elegant, a powerful combination.”

With a unique background in engineering, developmental biology, biophysical modeling, and single-cell biology, Yogesh develops quantitative approaches to problems in developmental biology and cancer drug resistance. As a postdoc, Yogesh developed theoretical and experimental lineage tracing approaches to study how non-genetic fluctuations may arise within genetically identical cancer cells and how these fluctuations affect the outcomes upon exposure to targeted therapy drugs. The Goyal Lab at Northwestern will “combine novel experimental, computational, and theoretical frameworks to monitor, perturb, model, and ultimately control single-cell variabilities and emergent fate choices in development and disease, including cancer and developmental disorders.”

“I am excited to start a new chapter in my academic career at Northwestern University,” Goyal says. “I am grateful for my time at Penn Bioengineering, and I thank my mentor Arjun Raj and the rest of the lab members for making this time intellectually and personally stimulating.”

Congratulations to Dr. Goyal from everyone at Penn Bioengineering!

Posted on

2021 Graduate Research Fellowships for Bioengineering Students

We are very pleased to announce that ten current and future graduate students in the Department of Bioengineering have received 2021 National Science Foundation Graduate Research Fellowship Program (NSF GRFP) fellowships. The prestigious NSF GRFP program recognizes and supports outstanding graduate students in NSF-supported fields. Further information about the program can be found on the NSF website. BE is thrilled to congratulate our excellent students on these well-deserved accolades! Continue reading below for a list of 2021 recipients and descriptions of their research.

Current Students:

Puneeth Guruprasad

Puneeth Guruprasad is a Ph.D. student in the lab of Marco Ruella, Assistant Professor of Medicine in the Division of Hematology/Oncology and the Center for Cellular Immunotherapies at the Perelman School of Medicine. His work applies next generation sequencing methods to characterize tumors and study the genetic basis of resistance to cancer immunotherapy, namely chimeric antigen receptor (CAR) T cell therapy.

Gabrielle Ho

Gabrielle (Gabby) Ho is a Ph.D. student in the lab of Brian Chow, Associate Professor in Bioengineering. She works on design strategies for engineering near-infrared fluorescent proteins and tools.

 

Abbas Idris

Abbas Idris is a Master’s student in the lab of Lukasz Bugaj, Assistant Professor in Bioengineering. His work focuses on using optogenetic tools to develop controllable protein assemblies for the study of cell signaling behaviors.

 

 

Incoming Students:

Additionally, seven NSF GRFP honorees from other institutions will be joining our department as Ph.D. students in the fall of 2021. We congratulate them as well and look forward to welcoming them to Penn:

Congratulations again to all our current and future graduate students on their amazing research!

Posted on

Engineering and Medicine Researchers Collaborate on Studies of Genome Folding in Health and Disease

(Left to right) Top row: Jennifer E. Phillips-Cremins, Rajan Jain, and Eric Joyce. Middle row: Melike Lakadamyali, Golnaz Vahedi, and Gerd Blobel. Bottom row: Bomyi Lim, Arjun Raj, and Stanley Qi.

Popular accounts of the human genome often depict it as a long string of DNA base pairs, but in reality the genome is separated into chromosomes that are tightly twisted and coiled into complex three-dimensional structures. These structures create a myriad of connections between sites on the genome that would be distant from one another if stretched out end-to-end. These “long range interactions” are not incidental — they regulate the activity of our genes during development and can cause disease when disrupted.

Now two teams of researchers at the Perelman School of Medicine at the University of Pennsylvania, each led by Jennifer E. Phillips-Cremins,  associate professor and Dean’s Faculty Fellow in the Department of Bioengineering at the School of Engineering and Applied Science and of Genetics at the Perelman School of Medicine have been awarded grants totaling $9 million from the National Institutes of Health (NIH), as part of a major NIH Common Fund initiative to understand such 3D-genomic interactions.

The initiative, known as the 4D Nucleome Program, broadly aims to map higher-order genome structures across space and time, as well as to understand how the twists and loops of the DNA sequence govern genome function and cellular phenotype in health and disease.

Read the full story in Penn Engineering Today.

N.B.: In addition to Phillips-Cremins, collaborators include Arjun Raj, Professor in Bioengineering and Genetics, and Bioengineering Graduate Group Members Melike Lakadamyali, Associate Professor in Physiology, and Bomyi Lim, Assistant Professor in Chemical and Biomolecular Engineering.